Skill-Audit-Bericht
agent-observability-replay-trace Audit-Bericht.
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
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Info62
158 GitHub-Stars
Star-/Fork-Aktivität
Warnung57
158 Stars und 25 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden88
2 Monate seit dem letzten Push
Lizenzklarheit
Bestanden86
MIT
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Warnung46
command execution surface, credential or environment access
Installationsverfügbarkeit
Bestanden92
npx skills add datadog-labs/agent-skills --skill agent-observability-replay-trace
Sicherheit des Installationsbefehls
Bestanden92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
Fehlgeschlagen22
secrets or environment access, shell or command execution
Repository-Nachweis
Bestanden86
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-replay-trace
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add datadog-labs/agent-skills --skill agent-observability-replay-trace
Repository
88
https://github.com/datadog-labs/agent-skills/tree/main/agent-observability/agent-observability-replay-trace
Lizenz
86
MIT
Wartung
88
2 Monate seit dem letzten Push
KI-Prüfung
55
The provided excerpt is incomplete; full SKILL.md and references were not fully reviewed, but the visible content is consistent and detailed.
README/SKILL.md-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
46
command execution surface, credential or environment access
Sicherheit des Installationsbefehls
92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
22
secrets or environment access, shell or command execution
Star-/Fork-Aktivität
57
158 Stars und 25 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
68
158 GitHub-Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnungen
- 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
Methode
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.
Nahe Optionen vergleichen