← All skills
Tencent SkillHub · Other

Safety Checks

Verify before you trust — model pinning, fallbacks, and runtime safety validation

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Verify before you trust — model pinning, fallbacks, and runtime safety validation

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.5.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 29 sections Open source page

safety-checks (安全)

Unified skill for runtime safety verification including model version pinning, fallback chain validation, cache staleness detection, and cross-session state checks. Consolidates 4 granular skills into a single safety verification suite. Trigger: 事前検証 (pre-flight) or HEARTBEAT Source skills: model-pinner, fallback-checker, cache-validator, cross-session-safety-check (from extensions)

Installation

openclaw install leegitw/safety-checks Dependencies: leegitw/constraint-engine (for enforcement integration) # Install with dependencies openclaw install leegitw/context-verifier openclaw install leegitw/failure-memory openclaw install leegitw/constraint-engine openclaw install leegitw/safety-checks Standalone usage: Model pinning and cache checks work independently. Full integration with constraint enforcement requires constraint-engine. Data handling: This skill performs local-only operations. All checks (model version comparison, cache age verification, file lock detection) are local file/metadata operations — no data is sent to any model, API, or external service. Results are written to output/safety/ in your workspace.

What This Solves

AI systems can silently degrade — model versions drift, caches go stale, sessions accumulate state. This skill catches these issues before they cause problems: Model pinning — verify you're using the model you expect Fallback validation — ensure degraded-mode paths exist and work Cache checks — detect stale or corrupted cached data Session hygiene — identify cross-session state contamination The insight: Runtime verification catches what static rules miss. Check the system state, not just the configuration.

Usage

/sc <sub-command> [arguments]

Sub-Commands

CommandCJKLogicTrigger/sc model機種model.version→pinned✓∨drift✗HEARTBEAT/sc fallback代替chain.exists→safe✓∨missing✗HEARTBEAT/sc cache快取response.age>TTL→stale✗HEARTBEAT/sc session会話cross_session.state→clean✓∨interference✗HEARTBEAT

/sc model

ArgumentRequiredDescription--expectedNoExpected model version (default: from config)--strictNoFail on any version mismatch

/sc fallback

ArgumentRequiredDescription--chainNoSpecific fallback chain to check in config Note: This command validates that fallback configurations exist in your config file. It does NOT make network calls or test actual connectivity. It's a config file audit.

/sc cache

ArgumentRequiredDescription--ttlNoTTL in seconds (default: 3600)--clearNoClear stale cache entries

/sc session

ArgumentRequiredDescription--check-stateNoCheck for state leakage between sessions--clear-stateNoClear any leaked state

Configuration

Configuration is loaded from (in order of precedence): .openclaw/safety-checks.yaml (OpenClaw standard) .claude/safety-checks.yaml (Claude Code compatibility) Defaults (built-in)

Model Version Pinning

Ensures AI model version matches expected configuration. How it works: This skill compares the model version reported in your agent's session metadata (e.g., the model name in API responses or agent headers) against the expected version in your config file. It does NOT call the model API to check — it reads the version string that your agent runtime already exposes. Model version format: {provider}-{model}-{version}-{date} Examples: anthropic-opus-4-5-20251101 openai-gpt-4-turbo-20250301 google-gemini-2-pro-20260101 # .openclaw/safety-checks.yaml model: expected: "anthropic-opus-4-5-20251101" # Provider-neutral format strict: true ConditionResultVersion matches✓ PinnedVersion differs, strict=false⚠ WarningVersion differs, strict=true✗ Fail

Fallback Chain Validation

Config audit only — verifies fallback entries exist in your config file. This does NOT make network calls or test actual connectivity. Checks that your safety-checks.yaml declares fallback configurations: # Example config entries this command validates exist: fallbacks: model: ["primary-model", "fallback-model", "cached"] storage: ["primary-path", "backup-path"] CheckWhat It ValidatesModel fallbacksConfig lists alternative modelsStorage fallbacksConfig lists backup paths

Cache Staleness Detection

Prevents use of outdated cached data: AgeTTLStatus< TTLAny✓ Fresh> TTLNot critical⚠ Stale warning> TTLCritical✗ Stale fail

Cross-Session State

Detects state leakage between sessions: CheckExact File CheckedRiskFile locks.openclaw/safety-checks.lockResource contentionWorkspace temp filesoutput/safety/temp-*Disk exhaustionSkill config.openclaw/safety-checks.yaml valuesConfiguration drift Scope: Checks are limited to this skill's own files only. This skill does NOT scan directories, does NOT read other skills' config files, and does NOT access files outside the specific paths listed above.

/sc model output (pinned)

[MODEL CHECK] Status: ✓ PINNED Expected: anthropic-opus-4-5-20251101 Actual: anthropic-opus-4-5-20251101 Model version matches configuration.

/sc model output (drift)

[MODEL CHECK] Status: ✗ VERSION DRIFT Expected: anthropic-opus-4-5-20251101 Actual: anthropic-opus-4-5-20251201 WARNING: Model version has changed. This may affect behavior consistency. Action: Update expected version in settings, or investigate change.

/sc fallback output

[FALLBACK CHECK] Status: ✓ CONFIGURED Config file: .openclaw/safety-checks.yaml Fallback entries found: ✓ model.fallbacks: 3 entries defined ✓ storage.fallbacks: 2 entries defined Note: This validates config entries exist, not actual connectivity. ✓ Tertiary (memory) - 4GB free

/sc cache output

[CACHE CHECK] Status: ⚠ STALE ENTRIES FOUND Cache Statistics: Total entries: 156 Fresh (< 1h): 142 Stale (> 1h): 14 Critical stale: 0 Stale entries: - api_response_auth (age: 2h 15m) - user_preferences (age: 1h 30m) - ... Action: Run /sc cache --clear to remove stale entries.

/sc session output (clean)

[SESSION CHECK] Status: ✓ CLEAN No cross-session interference detected. Checks passed: ✓ No stale lock file (.openclaw/safety-checks.lock) ✓ No orphan temp files (output/safety/temp-*) ✓ Config file valid (.openclaw/safety-checks.yaml)

/sc session output (interference)

[SESSION CHECK] Status: ✗ INTERFERENCE DETECTED Issues found: 1. Stale file lock: File: .openclaw/safety-checks.lock Owner: PID 12345 (not running) Action: Remove lock with /sc session --clear-state 2. Orphan temp files (3): output/safety/temp-*.log Age: > 24 hours Action: Remove with /sc session --clear-state Run /sc session --clear-state to remediate.

Integration

Layer: Safety Depends on: constraint-engine (for enforcement integration) Used by: constraint-engine (for pre-action safety checks), governance (for health monitoring)

Failure Modes

ConditionBehaviorInvalid sub-commandList available sub-commandsConfig not foundUse defaults, warn userNetwork unavailableSkip remote checks, warnPermission deniedError with remediation steps

Next Steps

After invoking this skill: ConditionActionModel driftAlert user, suggest config updateFallback missingAlert user, suggest setupCache staleOffer to clear, or auto-clear if configuredSession interferenceClear state, log incident

Workspace Files

This skill reads/writes only within declared paths: .openclaw/ ├── safety-checks.yaml # Primary config (read) └── cache/ └── staleness.log # Cache check history (read/write) .claude/ └── safety-checks.yaml # Claude Code config (read) output/ └── safety/ ├── model-checks.log # Model version history (write) ├── fallback-tests.log # Fallback test results (write) └── session-state.log # Session state log (write) Note: This skill does NOT read .claude/settings.json or any other tool's configuration.

HEARTBEAT Integration

  • These checks should run periodically via HEARTBEAT:
  • ## P1: Critical (Every Session)
  • [ ] Model version pinned? → /sc model
  • [ ] Session state clean? → /sc session
  • ## P2: Important (Weekly)
  • [ ] Fallback chains healthy? → /sc fallback
  • [ ] Cache fresh? → /sc cache

Model Drift Detection

/sc model --strict [MODEL CHECK] Status: ⚠ VERSION DRIFT Expected: anthropic-opus-4-5-20251101 Actual: anthropic-opus-4-5-20260101 Model version changed. Review CHANGELOG for behavior changes.

Cache Cleanup

/sc cache --clear [CACHE CHECK] Status: ✓ CLEANED Removed 14 stale entries from .openclaw/cache/ Freed: 2.3 MB

Security Considerations

Local-only processing: All safety checks are local file and metadata operations. No data is sent to any LLM, API, or external service. The "agent's model" is only used to interpret your commands — not to process or transmit your data. Exact files accessed (read): .openclaw/safety-checks.yaml — your skill configuration .claude/safety-checks.yaml — alternate config location .openclaw/cache/staleness.log — cache check history (if exists) Exact files written: output/safety/*.log — check results and history This skill does NOT scan directories or read other skills' config files. What this skill does NOT access: Other skills' configuration files System environment variables .claude/settings.json or other tool configs Any files outside the three config paths listed above Network resources or external APIs What this skill does NOT do: Send data to any model or external service Modify files outside output/safety/ Execute arbitrary code Data handling: All checks are read-only except for --clear operations on its own cache/output Results are written to output/safety/ only No data leaves the local machine Model version clarification: The /sc model command compares the expected version in your config against the model version string reported by your agent runtime (e.g., in session metadata or API headers). It does NOT make API calls to verify the model — it reads information your agent already has. 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.

Acceptance Criteria

/sc model verifies model version matches config /sc model warns or fails on version drift based on strict setting /sc fallback verifies fallback config entries exist in config file /sc cache detects entries older than TTL /sc cache --clear removes stale entries /sc session detects cross-session state leakage /sc session --clear-state remediates found issues All checks integrated with HEARTBEAT Consolidated from 4 skills as part of agentic skills consolidation (2026-02-15).

Category context

Long-tail utilities that do not fit the current primary taxonomy cleanly.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc