Rapport d’audit du skill
debug-pipeline Rapport d’audit.
Diagnose Harness pipeline executions via MCP. Analyzes any execution (failed or successful) to produce structured reports with stage/step breakdown, timing, bottlenecks, failure details, chained pipeline drill-down, and execution logs. Use when asked to debug a pipeline, investigate a failure, find out why a build failed, analyze pipeline errors, check execution logs, review execution performance, or find bottlenecks. Trigger phrases: debug pipeline, pipeline failed, why did my build fail, analyze failure, pipeline error, execution logs, fix pipeline, execution bottleneck, slow pipeline.
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
105 stars GitHub
Activité stars/forks
Avertissement57
105 stars et 18 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
Apache-2.0
Complétude README/SKILL.md
Validé86
Les métadonnées incluent suffisamment de contexte d’usage et de workflow
Risque dépendances/runtime
Avertissement54
credential or environment access, external package install surface
Disponibilité de l’installation
Validé92
npx skills add harness/harness-skills --skill debug-pipeline
Sécurité de la commande d’installation
Validé92
Chemin d’installation standard de package ou runtime
Surface de permissions
Avertissement60
secrets or environment access, network or browser access
Preuve du dépôt
Validé86
https://github.com/harness/harness-skills/tree/main/skills/debug-pipeline
État de revue
Avertissement46
L’approbation de revue IA est absente
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 harness/harness-skills --skill debug-pipeline
Dépôt
88
https://github.com/harness/harness-skills/tree/main/skills/debug-pipeline
Licence
86
Apache-2.0
Maintenance
88
1 mois depuis le dernier push
Revue IA
55
Review approval is missing
Complétude README/SKILL.md
86
Usable description available
Risque de dépendances
54
credential or environment access, external package install surface
Sécurité de la commande d’installation
92
Chemin d’installation standard de package ou runtime
Surface de permissions
60
secrets or environment access, network or browser access
Activité stars/forks
57
105 stars et 18 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Adoption
68
105 stars GitHub
Avertissements
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- L’approbation de revue IA est absente
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- Stars/forks activity: 105 stars, 18 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, external package install surface
- Permission surface: secrets or environment access, network or browser access
- Review status: AI review approval is missing
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.
Comparer les options proches
Skills associés à auditer ensuite
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
169K Stars · Rapport d’audit
Appsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
41K Stars · Rapport d’audit
Implement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
176K Stars · Rapport d’audit