基于 SOC 职业分类
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直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/benbrastmckie/nvim --skill skill-pr-review-research命令会保持在同一行。复制前请横向滚动并检查完整内容。
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正在显示 SKILL.md
Orchestrate multi-agent implementation with parallel phase execution. Spawns teammates for independent phases and coordinates dependent phases. Includes debugger teammate for error recovery.
Implement CSLib proofs with hard-mode contracts (H2 anti-analysis, H7 territory, H9 wrap-up with sorry_inventory). Invoke for --hard cslib implementation tasks.
Research CSLib formalization patterns with hard-mode contracts (H2 anti-analysis, H3 reference grounding with BibKey verification, H4 adversarial verification). Invoke for --hard cslib research tasks.
| name | skill-pr-review-research |
| description | Fetch GitHub PR and Zulip thread data for pr-type review tasks. Invoke for pr research tasks. |
| allowed-tools | Agent, Bash, Edit, Read, Write |
Thin wrapper that validates inputs, extracts the sources array from state.json,
and delegates to pr-review-research-agent to fetch GitHub and Zulip data.
This skill activates when:
/research command targets a pr-type review task/pr --review and has a sources array in state.jsonValidate that:
task_number exists and resolves to an active project in state.jsontask_type is "pr"sources array with at least one entry# Check task exists and get task_type
task_type=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num) | .task_type' \
specs/state.json)
if [ "$task_type" != "pr" ]; then
echo "Error: Task $task_number has type '$task_type', not 'pr'. skill-pr-review-research only handles pr tasks."
exit 1
fi
# Check sources array is present and non-empty
sources_count=$(jq --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num) | .sources // [] | length' \
specs/state.json)
if [ "$sources_count" -eq 0 ]; then
echo "Error: Task $task_number has no sources. Tasks created by /pr --review populate sources in state.json."
exit 1
fi
Update status to "researching" BEFORE invoking subagent:
bash .claude/scripts/update-task-status.sh preflight "$task_number" research "$session_id"
This skill previously wrote a bare, metadata-free marker via touch. Source skill-base.sh and
derive padded_num/project_name (not previously derived anywhere in this skill), then follow
@.claude/context/patterns/skill-preflight-flow.md's Stage 3 (marker creation) so this skill's
marker carries the full Shape A payload, matching every other lifecycle skill:
source .claude/scripts/skill-base.sh
padded_num=$(printf "%03d" "$task_number")
project_name=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num) | .project_name' \
specs/state.json)
skill_name="skill-pr-review-research"
operation="research"
skill_create_postflight_marker "$padded_num" "$project_name" "$session_id" "$skill_name" "$operation"
Read next_artifact_number from state.json with reconciliation pattern. Use this for
naming the report file (zero-padded to 2 digits, e.g., 01).
artifact_number=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num) | .next_artifact_number // 1' \
specs/state.json)
artifact_number_padded=$(printf "%02d" "$artifact_number")
Build the delegation JSON with PR-specific fields:
{
"session_id": "{session_id}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "research", "skill-pr-review-research"],
"timeout": 3600,
"task_context": {
"task_number": N,
"task_name": "{project_name}",
"description": "{description}",
"task_type": "pr"
},
"sources": [
{
"type": "github_pr",
"url": "https://github.com/owner/repo/pull/123",
"parsed": {
"owner": "owner",
"repo": "repo",
"pr_number": 123
}
}
],
"artifact_number": "01",
"focus_prompt": "{optional focus, or null}",
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}
Extract sources from state.json:
sources=$(jq -c --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num) | .sources // []' \
specs/state.json)
Note: Use jq -c (compact output) for inline JSON in delegation context.
Use the safe select(.project_number == $num) pattern (not !=) per jq-escaping-workarounds.md.
If --clean flag is NOT set, retrieve relevant memories:
memory_context=$(bash .claude/scripts/memory-retrieve.sh "pr review github zulip research" 2>/dev/null || echo "")
Include memory_context in the delegation context if non-empty.
Use the Agent tool with:
subagent_type: "pr-review-research-agent"The subagent will:
.return-meta.jsonspecs/{NNN}_{SLUG}/reports/{NN}_pr-review-research.md.return-meta.jsonCRITICAL: If you performed the work above WITHOUT using the Agent tool (i.e., you read files,
wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a
.return-meta.json file now before proceeding to postflight. Use the schema from
return-metadata-file.md with status: "researched" and include the report artifact.
If you DID use the Agent tool, skip this stage -- the subagent already wrote the metadata.
The following stages MUST execute after work is complete, whether the work was done by a subagent or inline (Stage 5b). Do NOT skip these stages for any reason.
Read the metadata file:
cat "specs/{NNN}_{SLUG}/.return-meta.json"
Check status field:
"researched" -> success, proceed normally"partial" -> partial success, note in status update"failed" -> failure, update status accordinglyreport_path="specs/{NNN}_{SLUG}/reports/{NN}_pr-review-research.md"
if [ -f "$report_path" ] && [ -s "$report_path" ]; then
echo "Report artifact validated: $report_path"
else
echo "Warning: Report artifact missing or empty at $report_path"
fi
bash .claude/scripts/update-task-status.sh postflight "$task_number" research "$session_id"
If .return-meta.json contains memory_candidates array with entries, pass them to the
memory vault:
# Extract and process memory candidates from subagent metadata
memory_candidates=$(jq -c '.memory_candidates // []' "specs/{NNN}_{SLUG}/.return-meta.json")
if [ "$memory_candidates" != "[]" ]; then
# Log candidates for /learn --task N to harvest later
echo "Memory candidates available: $memory_candidates"
fi
Add the research report artifact to state.json and regenerate TODO.md:
# Link report artifact
report_path="specs/{NNN}_{SLUG}/reports/{NN}_pr-review-research.md"
report_summary=$(jq -r '.artifacts[0].summary // "PR review research report"' \
"specs/{NNN}_{SLUG}/.return-meta.json")
# Update state.json with artifact
bash .claude/scripts/state-write.sh \
'.active_projects |= map(if .project_number == $num then
. + {"artifacts": ((.artifacts // []) + [{"type": "report", "path": $path, "summary": $summary}]),
"next_artifact_number": ((.next_artifact_number // 1) + 1)}
else . end)' \
--session-id "$session_id" \
--argjson num "$task_number" \
--arg path "$report_path" \
--arg summary "$report_summary" \
--regen-todo
bash .claude/scripts/lifecycle-notify.sh "research" "$task_number" "researched" 2>/dev/null || true
Follow @.claude/context/patterns/skill-postflight-flow.md's Stage 9 (cleanup), reusing the
padded_num/project_name derived at Stage 3:
skill_cleanup "$padded_num" "$project_name"
Return 3-6 bullet points summarizing:
Do NOT return JSON.
After the agent returns -- whether with status researched, partial, or failed -- this skill MUST proceed immediately to postflight (Stage 6). The skill MUST NOT:
PROHIBITION: If the subagent returned partial or failed status, the lead skill MUST NOT attempt to continue, complete, or "fill in" the subagent's work. Report the partial/failed status and let the user re-run
/researchto resume.
The postflight phase is LIMITED TO:
update-task-status.sh for status updates (state.json + TODO.md)Reference: @.claude/context/standards/postflight-tool-restrictions.md
Brief text summary (NOT JSON).