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Provides ClosedLoop environment paths (CLOSEDLOOP_WORKDIR, CLAUDE_PLUGIN_ROOT) to agents. This skill should be used by any agent that needs to access ClosedLoop run directories, plugin schemas, or other path-dependent resources.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Dispatch and collect the finding-verifier fleet at stage_23_verify_findings (PLN-722). Reads verify_manifest.json (written by stage_22b_verify_prepare), spawns one falsify-oriented verifier Task per to_verify[] entry with mode-specific Task scheduling (GitHub mode dispatches verifiers synchronously; local mode uses parallel background + blocking TaskOutput), skips cache_hits[], and collects outputs without retry — missing outputs degrade to pending_verification[] (and, in GitHub mode, a missing BLOCKING/HIGH verifier raises a coverage-gap signal). Invoke when the walker reaches stage_23_verify_findings. Do NOT use for the reviewer fleet (stage_20 — see the spawn-reviewers skill) or the PLN-725 singletons (stage_11/stage_15 — see the singleton-dispatch skill).
Spawn and collect the reviewer fleet at stage_20_spawn_reviewers. Consumes spawn.json.spec (the authoritative spawn spec from derive-spawn-spec / derive-static-spec), resolves GRAPH_PROJECT, builds per-agent prompts from the per-agent template + role suffixes (Bug Hunter A/B, Unified Auditor, Domain Critics, Impact Analyzer), handles the standard, fast-path, all-cached-BHA, and gated-by-verify cases, and runs the spawn/collection contract and agent-failure recovery. Falls back to the static reviewer table when spawn.json marks arbitrate_status:"fallback". Invoke when stage_20_spawn_reviewers is reached (both MODE=local and MODE=github). Do NOT use for the verifier fleet (stage_23 — see the verify-findings skill) or the PLN-725 singletons (stage_11/stage_15 — see the singleton-dispatch skill).
PLN-725 single-agent dispatch for stage_11_extract_signals and stage_15_coverage_critic. After each prepare stage writes its manifest, this skill reads the status field (cache_hit / skipped / needs_agent) and, only on needs_agent, spawns one synchronous singleton Task that writes the by-convention pln725_*.json output the sibling consolidate stage consumes. Invoke from walker-contract step 6 immediately after stage_11_extract_signals or stage_15_coverage_critic finishes. Do NOT use for the reviewer fleet (stage_20 — see the spawn-reviewers skill) or the verifier fleet (stage_23 — see the verify-findings skill).
Verify and fix BLOCKING/HIGH code review findings from a prior review session via category-dispatch, then run project verification.
Render the operator-facing local-mode code review results at stage_29_present. Covers BLOCKING/HIGH/MEDIUM section templates, Justified Findings (PLN-721), Dismissed Findings (PLN-722), Verifier Stats footer (PLN-773), operator-flag descriptions, override precedence rule for stage_22b, Validation Summary, and final Summary. Invoke when MODE=local AND stage_29_present is reached. Do NOT use for GitHub mode — see prompts/github-review.md. Do NOT use for Gate A hygiene-only early-exit — that path is mode-agnostic and remains in start.md alongside the Gate A definition.
Use when the user wants a code-grounded decision table for current behavior, wants to compare current behavior against a plan or work item, or needs a control-flow artifact for recovery, retry, finalization, validation, state-machine, or review-heavy edge cases.
| name | closedloop-env |
| description | Provides ClosedLoop environment paths (CLOSEDLOOP_WORKDIR, CLAUDE_PLUGIN_ROOT) to agents. This skill should be used by any agent that needs to access ClosedLoop run directories, plugin schemas, or other path-dependent resources. |
This skill provides access to ClosedLoop environment variables needed for file operations.
Read the base environment file:
.closedloop-ai/env
The file contains KEY=VALUE pairs:
CLOSEDLOOP_WORKDIR - The run directory for this sessionCLAUDE_PLUGIN_ROOT - The plugin installation directoryCLOSEDLOOP_PRD_FILE - Path to the PRD fileCLOSEDLOOP_MAX_ITERATIONS - Maximum loop iterationsAfter reading the env file, construct paths like:
{CLAUDE_PLUGIN_ROOT}/schemas/plan-schema.json{CLOSEDLOOP_WORKDIR}/plan.jsonAlso read your agent-specific learnings file if it exists:
.closedloop-ai/learnings-{your-agent-name}
Where {your-agent-name} is your name: from your frontmatter in lowercase (e.g., plan-validator).
The learnings file contains an <organization-learnings> block with patterns from previous runs. These learnings capture what worked well and should be applied to improve your performance.
When learnings are present: