القائمة
Stop making the same mistakes — turn failures into patterns that prevent recurrence
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اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
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npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill failure-memoryيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
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استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | failure-memory |
| version | 1.5.0 |
| description | Stop making the same mistakes — turn failures into patterns that prevent recurrence |
| author | Live Neon <contact@liveneon.dev> |
| homepage | https://github.com/live-neon/skills/tree/main/agentic/failure-memory |
| repository | leegitw/failure-memory |
| license | MIT |
| tags | ["agentic","memory","learning","self-improving","error-tracking","observability","patterns","adaptive","feedback"] |
| layer | core |
| status | active |
| alias | fm |
| metadata | {"openclaw":{"requires":{"config":[".openclaw/failure-memory.yaml",".claude/failure-memory.yaml"],"workspace":[".learnings/",".learnings/observations/"]}}} |
Unified skill for failure detection, observation recording, memory search, and pattern convergence. Consolidates 10 granular skills into a single coherent memory system.
Trigger: 失敗発生 (failure occurred)
Source skills: failure-tracker, observation-recorder, memory-search, topic-tagger, failure-detector, evidence-tier, effectiveness-metrics, pattern-convergence-detector, positive-framer, contextual-injection
openclaw install leegitw/failure-memory
Dependencies: leegitw/context-verifier (for file change detection)
# Install with dependencies
openclaw install leegitw/context-verifier
openclaw install leegitw/failure-memory
Standalone usage: This skill can function independently for basic failure tracking. For full lifecycle management, install the complete suite (see Neon Agentic Suite).
Data handling: This skill operates within your agent's trust boundary. When triggered,
it uses your agent's configured model for failure detection and pattern recording. No external APIs
or third-party services are called. Results are written to .learnings/ in your workspace.
AI systems often make the same mistakes repeatedly — deleting working code, missing edge cases, forgetting context. This skill turns failures into learning by:
.learnings/ directoryThe insight: Systems learn better from consequences than instructions. A failure that happened teaches more than a rule that might apply.
Scope note: Pattern detection operates within the current workspace only. Observations are stored in
.learnings/and searched locally. No cross-project data access occurs.
/fm <sub-command> [arguments]
| Command | CJK |
|---|
| Logic |
|---|
| Trigger |
|---|
/fm detect | 検出 | fail∈{test,user,API}→record | Next Steps (auto) |
/fm record | 記録 | pattern→obs, R++∨C++∨D++ | Next Steps (auto) |
/fm search | 索引 | query(pattern∨tag∨slug)→obs[] | Explicit |
/fm classify | 分類 | obs→tier∈{N=1:弱,N=2:中,N≥3:強} | Explicit |
/fm status | 状態 | eligible:R≥3∧C≥2, recent:30d | Explicit |
/fm refactor | 整理 | obs[]→merge∨split∨restructure | Explicit |
/fm converge | 収束 | pattern[]→detect(similarity≥0.8) | Explicit |
| Argument | Required | Description |
|---|---|---|
| type | Yes | Failure type: test, user, api, error |
| context | No | Additional context for the failure |
| Argument | Required | Description |
|---|---|---|
| pattern | Yes | Pattern description or observation ID |
| counter | No | Counter to increment: R (default), C, or D |
| Argument | Required | Description |
|---|---|---|
| query | Yes | Search pattern, tag, or slug |
| status | No | Filter by status: pending, eligible, all (default) |
| Argument | Required | Description |
|---|---|---|
| observation | Yes | Observation ID or pattern |
| Argument | Required | Description |
|---|---|---|
| --eligible | No | Show only eligible observations (R≥3 ∧ C≥2) |
| --recent | No | Show only observations from last 30 days |
| Argument | Required | Description |
|---|---|---|
| observations | Yes | Comma-separated observation IDs |
| action | Yes | Action: merge, split, restructure |
| Argument | Required | Description |
|---|---|---|
| --threshold | No | Similarity threshold (default: 0.8) |
These patterns indicate when /fm detect should be invoked (user or orchestrator triggers):
| Pattern | Source | Action |
|---|---|---|
test.exit_code != 0 | Tool output | /fm detect test |
| "Actually...", "No, that's wrong" | User message | /fm record correction |
| "I meant...", "Not X, Y" | User message | /fm record correction |
| API 4xx/5xx response | Tool output | /fm detect api |
| "error:", "failed", "Exception" | Tool output | /fm detect error |
| Deployment rollback | CI/CD output | /fm detect deployment |
| Database migration failed | Tool output | /fm detect migration |
[DETECTED] api failure
Pattern: payment-api-timeout
Context: Payment API returned 504 after 30s
Observation: OBS-20260215-002
R: 1 → 3
Status: Eligible for constraint (R≥3)
[DETECTED] deployment failure
Pattern: staging-healthcheck-fail
Context: Staging deployment failed health check on /api/health
Observation: OBS-20260215-003
R: 1 → 2
Status: Monitoring (R<3)
| Counter | Meaning | Updated By |
|---|---|---|
| R (Recurrence) | Auto-detected occurrences | /fm detect, /fm record |
| C (Confirmations) | Human-verified true positives | Human via /fm record C |
| D (Disconfirmations) | Human-verified false positives | Human via /fm record D |
| Tier | Criteria | Meaning |
|---|---|---|
| 弱 (weak) | N=1 | Single occurrence, may be noise |
| 中 (emerging) | N=2 | Pattern emerging, monitor |
| 強 (strong) | N≥3 | Established pattern, actionable |
Observations are tagged with slugs: git-*, test-*, workflow-*, security-*, docs-*, quality-*
prevention_rate: Failures prevented / Total potential failuresfalse_positive_rate: D / (C + D)[DETECTED] test failure
Pattern: lint-before-commit
Observation: OBS-20260215-001
R: 1 → 2
Status: Monitoring (R<3)
=== Failure Memory Status ===
Eligible for constraint (R≥3 ∧ C≥2):
- OBS-20260210-003: lint-before-commit (R=4, C=2, D=0)
- OBS-20260212-007: test-before-push (R=3, C=3, D=1)
Recent (last 30d): 12 observations
Pending review: 3 observations
Configuration is loaded from (in order of precedence):
.openclaw/failure-memory.yaml (OpenClaw standard).claude/failure-memory.yaml (Claude Code compatibility)# .openclaw/failure-memory.yaml
detection:
auto_detect: true # Enable automatic failure detection
patterns: # Custom detection patterns
- "FATAL:"
- "CRITICAL:"
thresholds:
eligibility_R: 3 # Recurrence threshold (default: 3)
eligibility_C: 2 # Confirmation threshold (default: 2)
false_positive_max: 0.2 # Max D/(C+D) ratio (default: 0.2)
| Condition | Behavior |
|---|---|
| Invalid sub-command | List available sub-commands |
| Missing observation ID | Error with usage example |
| No matches found | "No observations match query" |
| Duplicate detection | Increment R counter, don't create new observation |
After invoking this skill:
| Condition | Action |
|---|---|
| R incremented | Check eligibility: R≥3 ∧ C≥2 → notify user |
| R≥3 ∧ C≥2 | Suggest /ce generate for constraint |
| Pattern recurring | Link with See Also, bump priority |
| Always | Update .learnings/ERRORS.md or .learnings/LEARNINGS.md |
This skill reads/writes:
.learnings/
├── ERRORS.md # [ERR-YYYYMMDD-XXX] command failures
├── LEARNINGS.md # [LRN-YYYYMMDD-XXX] corrections, best practices
└── observations/ # Individual observation files
└── OBS-YYYYMMDD-XXX.md
What this skill accesses:
.openclaw/failure-memory.yaml and .claude/failure-memory.yaml.learnings/ (read/write)What this skill does NOT access:
What this skill does NOT do:
Data scope clarification:
.learnings/ within the current workspace onlyDetection trigger clarification:
The "Detection Triggers" table describes patterns that indicate when this skill should be
invoked. The agent can auto-invoke /fm detect when these patterns are detected, or users
can invoke manually. This enables true agentic behavior — failures are captured automatically.
Provenance note:
This skill is developed by Live Neon (https://github.com/live-neon/skills) and published
to ClawHub under the leegitw account. Both refer to the same maintainer.
/fm detect creates or updates observation with R++/fm record supports R, C, D counter updates/fm search finds observations by pattern, tag, or slug/fm classify returns correct tier based on N count/fm status shows eligible observations/fm refactor merges/splits observations correctly/fm converge detects similar patterns (≥0.8 similarity)Consolidated from 10 skills as part of agentic skills consolidation (2026-02-15).