escalate-issues
について
このスキルは、安全でないコード削除やセキュリティ脆弱性など、自動化されたクリーンアップでは対応が困難な複雑なメンテナンス問題をトリアージし、エスカレーションします。問題の文脈を記録し、深刻度を評価した上で、適切な専門エージェントまたは人間担当者へルーティングします。結果として、さらなる対応が可能なアクショナブルな問題レポートが作成されます。
クイックインストール
Claude Code
推奨npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/escalate-issuesこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
escalate-issues
Use When
Maintenance task hits problems beyond automated cleanup:
- Uncertain if code safe to delete
- Config changes need domain expertise (security, perf, arch)
- Breaking changes detected during cleanup
- Complex refactor needed (not cleanup)
- Security-sensitive (secrets, vulns)
Do NOT use for simple clear fixes. Escalate only when risky/insufficient.
In
| Param | Type | Req | Desc |
|---|---|---|---|
issue_description | string | Yes | Clear description |
severity | enum | Yes | critical, high, medium, low |
context_files | array | No | Paths to files |
specialist | string | No | Target agent (auto-route if none) |
blocking | boolean | No | Blocks cleanup (default: false) |
Do
Step 1: Severity
Classify via standard levels.
CRITICAL — Blocks prod:
- Broken imports in active code
- Security vulns (secrets, SQL injection)
- Data loss risk
- Prod outages
HIGH — Impacts maintainability/dev:
- Significant dead code (>1000 lines)
- Broken CI/CD
- Major config drift
- Unref modules maybe dynamically loaded
MEDIUM — Minor hygiene:
- Unused helpers (<100 lines)
- Stale docs
- Deprecated configs
- Lint warn non-critical
LOW — Style:
- Mixed indent
- Trailing whitespace
- Inconsistent naming
- Minor formatting
Decision Tree:
Does it break production? → CRITICAL
Does it block development? → HIGH
Does it impact code quality? → MEDIUM
Is it purely cosmetic? → LOW
→ Classified w/ clear label.
If err: uncertain → default HIGH, escalate human re-triage.
Step 2: Document
Capture context for specialist.
Report Template:
# Issue: [Brief Title]
**Severity**: CRITICAL | HIGH | MEDIUM | LOW
**Discovered During**: [Skill name, e.g., clean-codebase]
**Date**: YYYY-MM-DD
**Blocking**: Yes | No
## Description
Clear description of the problem in 2-3 sentences.
## Context
- **File(s)**: [List of affected files with line numbers]
- **Related**: [Related issues, commits, or previous attempts to fix]
- **Impact**: [What breaks if this isn't fixed, or what's wasted if not cleaned]
## Evidence
```language
# Code snippet or log excerpt showing the problem
Attempted Fixes
- Tried X but failed because Y
- Considered Z but uncertain due to W
Recommendation
- Option 1: [Safe conservative approach]
- Option 2: [More aggressive fix with risks]
- Preferred: [Which option to pursue and why]
Specialist Routing
Suggested Agent: [agent-name] Reason: [Why this specialist is appropriate]
References
- [Link to related documentation]
- [Link to similar past issues]
→ Documented w/ full context → `ESCALATION_REPORTS/issue_YYYYMMDD_HHMM.md`.
If err: (N/A — always document, even incomplete)
### Step 3: Route
Match issue → specialist/human.
**Routing Table**:
| Issue Type | Specialist | Reason |
|------------|-----------|---------|
| Security vuln | security-analyst | Security expertise |
| GxP compliance | gxp-validator | Regulatory |
| Architecture | senior-software-developer | Design patterns |
| Config mgmt | devops-engineer | Infra |
| Dep conflicts | devops-engineer | Pkg mgmt |
| Perf bottleneck | senior-data-scientist | Optimization |
| Style dispute | code-reviewer | Style authority |
| Dead code uncertain | r-developer (lang-specific) | Lang knowledge |
| Broken test unclear | code-reviewer | Test design |
| Doc accuracy | senior-researcher | Domain |
| License compat | auditor | Legal/compliance |
**Auto Routing**:
```python
def route_issue(severity, issue_type):
if severity == "CRITICAL":
# Always escalate to human for critical issues
return "human"
if "security" in issue_type or "secret" in issue_type:
return "security-analyst"
if "gxp" in issue_type or "compliance" in issue_type:
return "gxp-validator"
if "architecture" in issue_type or "design" in issue_type:
return "senior-software-developer"
if "config" in issue_type or "deployment" in issue_type:
return "devops-engineer"
# Default: code-reviewer for general code issues
return "code-reviewer"
→ Routed w/ justification.
If err: no clear specialist → human for manual route.
Step 4: Actionable Report
Formatted for target audience.
Specialist Agents (structured for MCP):
---
type: escalation
severity: high
from_agent: janitor
to_agent: security-analyst
blocking: false
---
# Security Concern: Hardcoded API Key in Config
**File**: config/production.yml:45
**Pattern**: API_KEY="sk_live_abc123..."
**Request**: Please review if this is a valid secret or a placeholder.
If valid, recommend secure credential management strategy.
**Context**: Discovered during config cleanup sweep.
Human (detailed md):
# Escalation Report: Uncertain Dead Code Removal
**From**: Janitor Agent
**Date**: 2026-02-16
**Severity**: HIGH
## Problem
File `src/legacy_payments.js` (450 lines) appears unused but contains
complex payment processing logic. Static analysis shows zero references,
but name suggests business-critical functionality.
## Why Escalated
- Uncertain if payment code is dynamically loaded at runtime
- Potential data loss risk if deleted incorrectly
- Requires domain knowledge to assess business impact
## Evidence
- No direct imports found
- Last modified 8 months ago
- Git history shows it was part of payment refactor
## Recommendation
Request human review before deletion. If confirmed dead:
1. Archive to archive/legacy/ directory
2. Document in ARCHIVE_LOG.md
3. Create ticket to verify payment flows still work
## Next Steps
Awaiting human confirmation before proceeding with cleanup.
→ Formatted for audience.
If err: (N/A — generic md if uncertain)
Step 5: Track
Log escalations → prevent duplicates.
# Escalation Log
| ID | Date | Severity | Issue | Specialist | Status |
|----|------|----------|-------|-----------|--------|
| ESC-001 | 2026-02-16 | CRITICAL | Broken prod import | human | Resolved |
| ESC-002 | 2026-02-16 | HIGH | Dead payment code | human | Pending |
| ESC-003 | 2026-02-16 | MEDIUM | Config drift | devops-engineer | In Progress |
→ ESCALATION_LOG.md updated w/ new entry.
If err: log DNE → create.
Step 6: Notify + Block (If Required)
Blocking → notify + pause cleanup.
Blocking Logic:
- CRITICAL always blocks
- HIGH blocks if critical path
- MEDIUM/LOW no block
Notification:
⚠️ MAINTENANCE BLOCKED ⚠️
Issue ESC-002 (HIGH severity) requires human review before proceeding.
**Affected Operation**: clean-codebase (Step 5: Remove Dead Code)
**Reason**: Uncertain if src/legacy_payments.js is truly dead
**Action Required**: Review ESCALATION_REPORTS/ESC-002_2026-02-16.md
Once resolved, re-run maintenance from Step 5.
→ Maintenance paused, notification clear.
If err: notification unavailable → document in report.
Check
After escalation:
- Severity correct
- Full context (files, evidence, attempts)
- Specialist identified
- Report in ESCALATION_REPORTS/
- LOG updated
- Blocking communicated if applicable
- No secrets exposed
Traps
- Over-Escalate: Simple issues waste specialist. Only when uncertain/risky.
- Under-Escalate: Delete code "to see if tests pass" no escalate → prod outage.
- Insufficient Context: No evidence → specialists re-investigate. Include paths, lines, errs.
- Vague: "Something wrong w/ config" not actionable. Specific: "Config drift: dev v1, prod v2".
- No Track: Re-escalating already-reviewed. Check LOG first.
- Expose Secrets: Real keys/passwords in reports. Redact sensitive.
→
- clean-codebase — Often triggers escalations uncertain
- tidy-project-structure — May discover complex org issues
- repair-broken-references — Escalate unclear fix/remove
- compliance/security-scan — Escalate security findings
- general/issue-triage — General classification patterns
GitHub リポジトリ
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