
Skill
agentops-report
generate and explain AgentOps release-gate reports
Description
Read, regenerate, and explain AgentOps release-gate reports. Trigger on "show report", "explain scores", "regenerate report", "what do these metrics mean", "where is the proof". Operates on results.json and report.md produced by `agentops eval run`.
SKILL.md
AgentOps Report
Help the user understand a finished AgentOps run and the evidence it provides for the release decision. Reports explain the repo-side gate; they do not replace Foundry Evaluations, Traces, or Monitor drilldown.
Step 0 - Locate the run
Latest run: .agentops/results/latest/. Each run produces:
results.json- machine-readable metrics, per-row scores, thresholds.report.md- human-readable summary suitable for PR comments.cloud_evaluation.json(when Foundry visibility is enabled) - deep-link to the Foundry Evaluations panel.mode: classicwhenexecution: localandpublish: trueupload metrics to Classic Foundry;mode: cloudwhenexecution: cloudruns server-side via the OpenAI Evals API.
Step 1 - Regenerate report.md if needed
agentops report generate # uses .agentops/results/latest/results.json
agentops report generate --in <results.json> --out <report.md>
report generate always reads the flat 1.0 results schema and emits
Markdown. There is no HTML format.
Step 2 - Explain the metrics
Common metrics and their meaning:
| Metric | Range | Higher is better? | Notes |
|---|---|---|---|
similarity | 1-5 | yes | LLM-judged similarity to expected. |
coherence | 1-5 | yes | Answer is internally consistent. |
fluency | 1-5 | yes | Natural language quality. |
groundedness | 1-5 | yes | Answer is supported by context (RAG). |
relevance | 1-5 | yes | Answer is on-topic for input. |
f1_score | 0-1 | yes | Token overlap with expected. |
tool_call_accuracy | 0-1 | yes | Predicted tool calls match tool_calls. |
intent_resolution | 0-1 | yes | User intent was resolved. |
task_completion | 0-1 | yes | Multi-step task finished. |
avg_latency_seconds | seconds | no | Wall-clock latency per row. |
Pass/fail rows are derived from thresholds: in agentops.yaml. The
exit code of the original run reflects the gate:
0→ all thresholds passed2→ one or more thresholds failed1→ runtime error
Step 3 - Help the user act on results
- For low scores on a specific metric, point at the lowest-scoring rows
in
results.json(row_metrics[]anditem_evaluations[]) and suggest concrete prompt or retrieval changes. - For latency regressions, look at
run_metrics.avg_latency_secondsand per-row latency. - To compare a new run against a previous one, re-run with
agentops eval run --baseline <previous-results.json>and explain the generated Comparison vs Baseline section. - For production evidence, open
.agentops/release/latest/evidence.md. If it includes agovernancesection, explain ASSERT/ACS/red-team entries as read-only proof references (path, hash, status, ACS checkpoint coverage), not as proof that AgentOps executed those frameworks.
Guardrails
- Never invent metric values. If a metric is absent, say so.
- Do not edit
results.jsonby hand - re-run the eval. - Do not paste raw red-team payloads into the response; summarize only metadata and reviewer/status information.
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