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agent config updates
This commit is contained in:
David Chen
parent
91deb129a8
commit
7e4e555895
7 changed files with 122 additions and 287 deletions
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@ -130,33 +130,19 @@ def get_tmux_panes() -> list[TmuxPane]:
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return panes
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def get_descendants(pid: int, max_depth: int = 5) -> set[int]:
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"""Get all descendant PIDs of a process."""
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descendants = set()
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to_check = [pid]
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depth = 0
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while to_check and depth < max_depth:
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next_check = []
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for p in to_check:
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children = run_cmd(f"pgrep -P {p} 2>/dev/null").strip().split('\n')
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for child in children:
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if child.isdigit():
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child_pid = int(child)
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if child_pid not in descendants:
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descendants.add(child_pid)
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next_check.append(child_pid)
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to_check = next_check
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depth += 1
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return descendants
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def get_parent_chain(pid: int, max_depth: int = 10) -> list[tuple[int, str]]:
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"""Get parent chain up to launchd."""
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chain = []
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current = pid
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"""Ancestors as (pid, comm), starting with the immediate parent.
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Walks upward via `ps ppid`, which stays correct when `pgrep -P` child
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enumeration races with reparenting on macOS.
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"""
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ppid_out = run_cmd(f"ps -p {pid} -o ppid= 2>/dev/null").strip()
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try:
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current = int(ppid_out)
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except ValueError:
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return []
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chain: list[tuple[int, str]] = []
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for _ in range(max_depth):
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output = run_cmd(f"ps -p {current} -o ppid=,comm= 2>/dev/null").strip()
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if not output:
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@ -167,13 +153,12 @@ def get_parent_chain(pid: int, max_depth: int = 10) -> list[tuple[int, str]]:
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try:
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ppid = int(parts[0])
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comm = parts[1]
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chain.append((ppid, comm))
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if ppid <= 1:
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break
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current = ppid
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except ValueError:
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break
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chain.append((current, comm))
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if ppid <= 1 or current <= 1:
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break
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current = ppid
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return chain
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@ -197,15 +182,13 @@ def main():
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processes = get_target_processes()
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panes = get_tmux_panes()
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pane_descendants: dict[int, set[int]] = {}
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for pane in panes:
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pane_descendants[pane.pane_pid] = get_descendants(pane.pane_pid)
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pane_pids = {pane.pane_pid: pane for pane in panes}
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tmux_mapping: dict[int, TmuxPane] = {}
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for proc in processes:
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for pane in panes:
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if proc.pid in pane_descendants[pane.pane_pid]:
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tmux_mapping[proc.pid] = pane
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for ancestor_pid, _ in get_parent_chain(proc.pid):
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if ancestor_pid in pane_pids:
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tmux_mapping[proc.pid] = pane_pids[ancestor_pid]
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break
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by_window: dict[str, list[Process]] = defaultdict(list)
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@ -1,46 +0,0 @@
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---
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description: Discovery scout for blast-radius and impact surface mapping
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mode: subagent
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model: openai/gpt-5.3-codex-spark
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color: "#F59E0B"
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permission:
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edit: deny
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bash: deny
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webfetch: deny
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task:
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"*": deny
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tools:
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memory_*: true
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---
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You are discover-blast.
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Goal: estimate direct and indirect impact surface for a proposed change.
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Rules:
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- Discovery only. No implementation or design advice.
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- Report impact evidence with path:line references.
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- Keep output compact and factual.
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- Maximum 5 findings.
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Focus:
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- directly touched files/symbols
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- indirectly coupled files/symbols
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- likely high-risk dependency edges
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Return valid JSON only:
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```json
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{
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"agent": "discover-blast",
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"scope": "...",
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"findings": [
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{
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"claim": "...",
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"evidence": "path/to/file:line",
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"confidence": 0.0
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}
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],
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"unknowns": ["..."]
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}
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```
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@ -1,46 +0,0 @@
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---
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description: Discovery scout for execution and data flow tracing
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mode: subagent
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model: openai/gpt-5.3-codex-spark
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color: "#3B82F6"
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permission:
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edit: deny
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bash: deny
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webfetch: deny
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task:
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"*": deny
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tools:
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memory_*: true
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---
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You are discover-flow.
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Goal: trace execution or data flow through the codebase.
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Rules:
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- Discovery only. No implementation or design advice.
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- Build an evidence-backed trace, not speculation.
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- Keep output compact and factual.
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- Maximum 5 findings.
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Focus:
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- entry point to sink path
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- transformation points
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- boundary crossings between modules
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Return valid JSON only:
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```json
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{
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"agent": "discover-flow",
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"scope": "...",
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"findings": [
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{
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"claim": "...",
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"evidence": "path/to/file:line",
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"confidence": 0.0
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}
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],
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"unknowns": ["..."]
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}
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```
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@ -1,46 +0,0 @@
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---
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description: Discovery scout for files, symbols, and entry points
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mode: subagent
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model: openai/gpt-5.3-codex-spark
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color: "#22C55E"
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permission:
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edit: deny
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bash: deny
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webfetch: deny
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task:
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"*": deny
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tools:
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memory_*: true
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---
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You are discover-locator.
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Goal: quickly locate where relevant logic lives.
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Rules:
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- Discovery only. No implementation or design advice.
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- Use repository evidence only.
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- Keep output compact and factual.
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- Maximum 5 findings.
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Focus:
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- candidate files/modules
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- key symbols and entry points
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- strongest path:line evidence
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Return valid JSON only:
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```json
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{
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"agent": "discover-locator",
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"scope": "...",
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"findings": [
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{
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"claim": "...",
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"evidence": "path/to/file:line",
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"confidence": 0.0
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}
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],
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"unknowns": ["..."]
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}
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```
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@ -1,47 +0,0 @@
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---
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description: Discovery scout for definitions, usages, callers, and callees
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mode: subagent
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model: openai/gpt-5.3-codex-spark
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color: "#14B8A6"
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permission:
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edit: deny
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bash: deny
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webfetch: deny
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task:
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"*": deny
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tools:
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memory_*: true
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---
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You are discover-xref.
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Goal: map cross references for target symbols or files.
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Rules:
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- Discovery only. No implementation or design advice.
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- Use direct evidence with path:line references.
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- Keep output compact and factual.
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- Maximum 5 findings.
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Focus:
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- definitions
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- usages
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- callers/callees
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- import/export touchpoints
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Return valid JSON only:
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```json
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{
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"agent": "discover-xref",
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"scope": "...",
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"findings": [
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{
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"claim": "...",
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"evidence": "path/to/file:line",
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"confidence": 0.0
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}
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],
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"unknowns": ["..."]
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}
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```
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@ -1,62 +0,0 @@
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---
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description: Search - research specialist for external information
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mode: subagent
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color: "#10B981"
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permission:
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edit: deny
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bash: deny
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tools:
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memory_*: true
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---
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You are Search, a research specialist. You find external information for the team.
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## MANDATORY: Memory First
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**Start of EVERY response:**
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```
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memory_recall("what do we know about [topic]")
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```
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Memory is automatically captured from your work. Just be detailed in your findings.
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## Your Role
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- Search the web for information
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- Summarize findings with sources
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- Report back to whoever asked
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## Tools
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Use `google_search` to search, then `website_fetch` to get details from relevant pages.
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## What You Do
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- Find documentation, examples, best practices
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- Research unfamiliar technologies
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- Compare approaches with evidence
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## What You Don't Do
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- Edit files
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- Run commands
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- Speculate without sources
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- Make decisions (just report findings)
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## Output Format
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Be detailed so the memory system captures useful facts:
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```
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## Research: [topic]
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### Findings
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- [finding 1 with specific details] (source: [url])
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- [finding 2 with specific details] (source: [url])
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### Summary
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[1-2 sentence summary]
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### Recommendation
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[if asked for one, based on evidence]
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```
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@ -11,12 +11,15 @@
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}
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},
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"disabled_providers": [
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"openai",
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"zai",
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"zhipuai",
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"zhipuai-coding-plan",
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"zen",
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"cloudflare",
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"cloudflare-ai-gateway",
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"cloudflare-workers-ai",
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"amazon-bedrock",
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"ollama-cloud"
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"amazon-bedrock"
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],
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"compaction": {
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"auto": false
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@ -85,5 +88,101 @@
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],
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"enabled": false
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}
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},
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"provider": {
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"cliproxy": {
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"api": "openai",
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"name": "CLIProxyAPI (dmini)",
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"options": {
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"apiKey": "{env:CLIPROXY_API_KEY}",
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"baseURL": "{env:CLIPROXY_BASE_URL}"
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},
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"models": {
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"gpt-5.6-sol": {
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"name": "gpt-5.6-sol",
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"attachment": true,
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"modalities": {
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"input": ["text", "image"],
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"output": ["text"]
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},
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"tool_call": true,
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"reasoning": true,
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"limit": {
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"context": 272000,
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"output": 128000
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}
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},
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"gpt-5.6-terra": {
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"name": "gpt-5.6-terra",
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"attachment": true,
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"modalities": {
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"input": ["text", "image"],
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"output": ["text"]
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},
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"tool_call": true,
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"reasoning": true,
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"limit": {
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"context": 272000,
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"output": 128000
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}
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},
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"gpt-5.6-luna": {
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"name": "gpt-5.6-luna",
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"attachment": true,
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"modalities": {
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"input": ["text", "image"],
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"output": ["text"]
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},
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"tool_call": true,
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"reasoning": true,
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"limit": {
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"context": 272000,
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"output": 128000
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}
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},
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"gpt-5.5": {
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"name": "gpt-5.5",
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"attachment": true,
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"modalities": {
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"input": ["text", "image"],
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"output": ["text"]
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},
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"tool_call": true,
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"reasoning": true,
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"limit": {
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"context": 272000,
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"output": 128000
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}
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},
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"gpt-5.4": {
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"name": "gpt-5.4",
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"attachment": true,
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"modalities": {
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"input": ["text", "image"],
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"output": ["text"]
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},
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"tool_call": true,
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"reasoning": true,
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"limit": {
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"context": 272000,
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"output": 128000
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}
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},
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"gpt-5.4-mini": {
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"name": "gpt-5.4-mini",
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"attachment": true,
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"modalities": {
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"input": ["text", "image"],
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"output": ["text"]
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},
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"tool_call": true,
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"reasoning": true,
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"limit": {
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"context": 272000,
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"output": 128000
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}
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}
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}
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}
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}
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}
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