Rapport d’audit du skill

agent-observability-replay-trace Rapport d’audit.

Use when a developer wants to iterate on ONE specific Agent Observability / LLM Obs trace whose output they didn't like — re-running that trace against their LOCAL code, seeing a concise diff of the old vs new output, and looping (change code → replay → diff) until satisfied. Invoked as /agent-observability-replay-trace <trace-id> [changes to test]. Signals: "replay this trace"; "iterate on a trace"; "this trace's output is wrong, fix it and re-run"; "re-run trace <id> with <change>"; pasting a trace id from the Agent Observability UI with a description of what to fix. It fetches the trace via the datadog-llmo MCP or the pup CLI, edits code, re-runs the app to emit a NEW trace, and diffs the two — no local server, no browser. For agents traced with ddtrace / LLM Obs (Python first-class), with JSON-serializable entry input. Do NOT use for: scored Experiments or the browser "Replay" button (that's agent-observability-replay-experiment), building an experiment from a dataset/CSV, writing

Bloqué · BloquerRevue nécessaireGénéré 13 oct. 2026Audit heuristique des métadonnées
72
Audit
65
Confiance
65
Qualité
71
Sécurité
88
Maintain
92
Installer

Trust Score OpenAgentSkill

65
Revue manuelle

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adoption GitHub

Info

62

158 stars GitHub

Activité stars/forks

Avertissement

57

158 stars et 25 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

88

2 mois depuis le dernier push

Clarté de licence

Validé

86

MIT

Complétude README/SKILL.md

Validé

86

Les métadonnées incluent suffisamment de contexte d’usage et de workflow

Risque dépendances/runtime

Avertissement

46

command execution surface, credential or environment access

Disponibilité de l’installation

Validé

92

npx skills add datadog-labs/agent-skills --skill agent-observability-replay-trace

Sécurité de la commande d’installation

Validé

92

Chemin d’installation standard de package ou runtime

Surface de permissions

Échoué

22

secrets or environment access, shell or command execution

Preuve du dépôt

Validé

86

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-replay-trace

État de revue

Info

66

Données de revue IA disponibles

Résultats prouvés par Agent

Info

54

Pas encore de données de résultats Agent

Vérifications

Revue d’installation et d’adoption

6 Validé · 16 Revue nécessaire

Chemin d’installation

92

Validé

npx skills add datadog-labs/agent-skills --skill agent-observability-replay-trace

Dépôt

88

Validé

https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-replay-trace

Licence

86

Validé

MIT

Maintenance

88

Validé

2 mois depuis le dernier push

Revue IA

55

Vérifier

The provided excerpt is incomplete; full SKILL.md and references were not fully reviewed, but the visible content is consistent and detailed.

Complétude README/SKILL.md

86

Validé

Usable description available

Risque de dépendances

46

Corriger

command execution surface, credential or environment access

Sécurité de la commande d’installation

92

Validé

Chemin d’installation standard de package ou runtime

Surface de permissions

22

Corriger

secrets or environment access, shell or command execution

Activité stars/forks

57

Corriger

158 stars et 25 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Adoption

68

Info

158 stars GitHub

Financial decision safety

58

Vérifier

Research-only use: do not treat output as financial advice or execute a position without human approval.

Avertissements

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • The provided excerpt is incomplete; full SKILL.md and references were not fully reviewed, but the visible content is consistent and detailed.
  • The parsed metadata description shows '>-' which appears to be a YAML folding artifact, not a content defect.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 158 stars, 25 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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