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Recursively improve AI agents from their traces
Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
Claude Skills install to a single target, no runtime picker.
nerlo install -- recursive-improve
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- recursive-improve ~/.claude/skills/
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
5 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v1.4.0
0 findings · 0.5s
v2.0.11
10 findings · 7.3s
v0.3.74
4 findings · 3.2s
v0.1.0
0 findings · 3.1s
v0.1.0
0 findings · 3.1s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.1s
v0.1.0
This scanner found nothing in this artifact that it assesses. What each scanner covers
0 findings · 1.6s
No report in this scan: govulncheck, osv-scanner, trivy, trivy_image.
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 22, 2026 | Scan Halted | — | agentshield: completecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source ·n/a: not applicable | rejected |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Flagged badge are computed from those raw severities alone. Nothing below moved them.
Out of 14 findings across every scanner that examined this package.
These findings are in files this artifact installs and are not placeholder values. No false-positive basis can be corroborated for such a finding, so this review never dismisses one; they were not sent to the model and stand at their scanner's severity.
8 MANIFEST_MISSING_LICENSE
Files: /repo/.claude/skills/ratchet/SKILL.md, /repo/.claude/skills/benchmark/SKILL.md, /repo/.claude/skills/recursive-improve/SKILL.md and 5 more · reported by cisco-skill-scanner
3 AAK-HEALTHCARE-AI-004
Files: .claude/skills/recursive-improve/SKILL.md, recursive_improve/data/SKILL.md, .agents/skills/recursive-improve/SKILL.md · reported by agent-audit-kit
1 AAK-SUPPLY-004
Files: pyproject.toml · reported by agent-audit-kit
1 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md · reported by cisco-skill-scanner
1 YARA_prompt_injection_unicode_steganography
Files: /repo/assets/loop.gif · reported by cisco-skill-scanner
Artifact has medium-severity findings related to data handling and prompt injection.
The artifact contains multiple medium-severity findings. These include potential risks in handling sensitive data or supply chain interactions, as indicated by AAK-HEALTHCARE-AI-004 and AAK-SUPPLY-004 findings. Additionally, a YARA_prompt_injection_unicode_steganography finding suggests a capability that could be susceptible to prompt injection, potentially leading to unintended behavior or data exposure. A low-severity finding also notes a vague description, which might hinder understanding its full scope.
Concern level assessed by the review: Medium. This is the review's scale, not the registry badge.
Reviewed by gemini-2.5-flash. The model sees the findings, not your code, and cannot change a score.