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Cursor Rules are .cursorrules / .cursor/rules files that steer Cursor's AI; 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.
7 critical findings reported by cisco-skill-scanner. The composite score alone does not reflect this — read the per-scanner reports below.
Cursor Rules are .cursorrules / .cursor/rules files that steer Cursor's AI. Review the scanned source before copying them into your own project.
nerlo install -- envoutante/collaq
4 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.
v2.0.11
31 findings · 11.0s
v0.3.74
1 finding · 5.8s
v0.1.0
0 findings · 3.8s
v0.1.0
0 findings · 3.8s
v1.4.0
None of the entry points this scanner reads were found in this artifact. What each scanner covers
0 findings · 0.2s
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 · 0.8s
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 21, 2026 | Scan Halted | — | agentshield ·n/a: not applicablecisco-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 32 findings across every scanner that examined this package. None of the 7 findings rated critical by their scanner were dismissed.
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.
11 PYCACHE_FILES_DETECTED
Files: /repo/src/components/__pycache__, /repo/src/modules/__pycache__, /repo/src/envs/__pycache__ and 8 more · reported by cisco-skill-scanner
7 COMMAND_INJECTION_EVAL
Files: /repo/src/components/action_selectors.py, /repo/src/components/epsilon_schedules.py · reported by cisco-skill-scanner
4 FILE_MAGIC_MISMATCH
Files: /repo/src/config/algs/vdn_beta.yaml, /repo/src_code/config/vdn_beta.yaml, /repo/src/config/algs/qtran.yaml and 1 more · reported by cisco-skill-scanner
2 RESOURCE_ABUSE_INFINITE_LOOP
Files: /repo/src/runners/parallel_runner.py · reported by cisco-skill-scanner
2 YARA_prompt_injection_unicode_steganography
Files: /repo/figures/sc2_standard.png · reported by cisco-skill-scanner
1 AAK-METIS-SCORING-SINK-001
Files: src/utils/timehelper.py · reported by agent-audit-kit
1 EXCESSIVE_FILE_COUNT
Files: /repo/. · reported by cisco-skill-scanner
1 MANIFEST_MISSING_LICENSE
Files: /repo/SKILL.md · reported by cisco-skill-scanner
1 PDF_STRUCTURAL_THREAT
Files: /repo/Multi-Agent Collaboration via Reward Attribution Decomposition.pdf · reported by cisco-skill-scanner
1 SOCIAL_ENG_VAGUE_DESCRIPTION
Files: /repo/SKILL.md · reported by cisco-skill-scanner
1 UNANALYZABLE_BINARY
Files: /repo/Multi-Agent Collaboration via Reward Attribution Decomposition.pdf · reported by cisco-skill-scanner
Critical command injection vulnerabilities detected
Critical command injection vulnerabilities are present in `action_selectors.py` and `epsilon_schedules.py`, enabling potential shell execution. High-severity resource abuse, specifically infinite loops, is identified in `parallel_runner.py`. Additionally, a high-severity PDF structural threat is found in `Multi-Agent Collaboration via Reward Attribution Decomposition.pdf`.
Concern level assessed by the review: Critical. 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.