moltbot-best-practices
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
Best practices for AI agents to avoid common mistakes. Learn from real failures - confirms before executing, shows drafts before publishing, stops when told to stop, and doesn't over-automate.
- Package
- 3 files, 7.7 KB
- SKILL.md
- 763 words, 12+ sections
- Code
- None. Instructions only.
- Version
- 1.1.0
SKILL.md covers: MoltBot Best Practices · The Rules · 1. Confirm Before Executing · 2. Never Publish Without Approval · 3. Spawn Agents Only When Truly Needed · 4. When User Says STOP, You Stop · 5. Simpler Path First · 6. One Task at a Time · 7. Fail Fast, Ask Fast · 8. Less Narration During Failures · 9. Match User's Energy · 10. Ask Clarifying Questions Upfront
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
README.md | doc | 1.7 KB |
SKILL.md | doc | 5.1 KB |
package.json | config | 941 B |
External hosts referenced
github.com x.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
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/moltbot-best-practices
- Raw scan result: moltbot-best-practices-scan.json
- Badge for your README:
- Request a re-scan