error-guard
No security findings. Scanned 1 time, most recently 2026-02-06.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
System safety and control-plane skill that prevents agent deadlocks and freezes. Provides non-LLM control commands to inspect task state, flush message queues, cancel long-running work, and recover safely without restarting the container. Use when implementing or operating long-running tasks, sub-agents, benchmarks, background monitors (e.g., Moltbook, PNR checks), or when the system becomes unresponsive and needs immediate recovery controls.
- Package
- 10 files, 14 KB
- SKILL.md
- 342 words, 9 sections
- Code
- TypeScript (9)
SKILL.md covers: error-guard · Design Principles · Command Surface (Phase 1) · /status · /flush · /recover · Future Extensions (Not Implemented Yet) · Security & Privacy · Non-Goals
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 2.7 KB |
benchmark-worker.ts | script | 1.6 KB |
control.ts | script | 2.7 KB |
events.ts | script | 575 B |
heartbeat.ts | script | 746 B |
moltbook-worker.ts | script | 1.8 KB |
spawn.ts | script | 679 B |
state.ts | script | 797 B |
watchdog.ts | script | 1.1 KB |
worker-events.ts | script | 1.0 KB |
Package contents recorded 2026-10-22. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Llm analyzer. A language model reads the skill and reports intent-level issues the rules cannot express.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
- Meta analyzer. A second model pass that validates, deduplicates and re-scores the other analyzers' findings.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://clawhub.ai/skills/error-guard
- Raw scan result: error-guard-—-control‑plane-safety-scan.json
- Badge for your README:
- Request a re-scan