Rapport d’audit du skill
deep-research Rapport d’audit.
Deep research on any topic — broad parallel web searches, multi-source validation, confidence tracking, and a cited Markdown report. Use whenever the deliverable is a thorough sourced report rather than a quick answer: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'regulatory overview', 'funding landscape', 'what trends are emerging in X', 'patent landscape', 'community health', or any request requiring scanning many sources and producing a cited written analysis. Covers 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory overview), technical (architecture, tooling, benchmarks, technology evaluation), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, teardowns, roadmap signals), academic (literature revie
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adoption GitHub
Info62
203 stars GitHub
Activité stars/forks
Avertissement57
203 stars et 15 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé88
1 mois depuis le dernier push
Clarté de licence
Validé86
MIT
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Info72
Surface d’exécution de commandes
Disponibilité de l’installation
Validé92
npx skills add samber/cc-skills --skill deep-research
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Info62
shell or command execution, filesystem or document access
Preuve du dépôt
Validé86
https://github.com/samber/cc-skills/tree/main/skills/deep-research
État de revue
Info66
Données de revue IA disponibles
Résultats prouvés par Agent
Info54
Pas encore de données de résultats Agent
Vérifications
Revue d’installation et d’adoption
Chemin d’installation
92
npx skills add samber/cc-skills --skill deep-research
Dépôt
88
https://github.com/samber/cc-skills/tree/main/skills/deep-research
Licence
86
MIT
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
No explicit guardrail against prompt injection from fetched web content; the skill instructs fetching pages but does not state that page content must be treated as untrusted data, not as instructions.
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
72
Surface d’exécution de commandes
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
62
shell or command execution, filesystem or document access
Activité stars/forks
57
203 stars et 15 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
203 stars GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Avertissements
- Financial research output is not financial advice; require human review before any live investment decision
- No explicit guardrail against prompt injection from fetched web content; the skill instructs fetching pages but does not state that page content must be treated as untrusted data, not as instructions.
- allowed-tools grants unrestricted Bash(curl:*) which could be abused if a malicious page or prompt redirects the agent; consider constraining curl to http(s) URLs and writing output only to temp files.
- No explicit guidance on handling sensitive data or secrets when running curl, pandoc, or md-to-pdf.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Stars/forks activity: 203 stars, 15 forks; issue activity unavailable in current metadata
Méthode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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