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runtime-evidence-and-tracing

Use when connecting observed behavior, logs, metrics, request IDs, run IDs, screenshots, traces, external dependency results, or artifacts into a ru…

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技能内容

Runtime Evidence And Tracing

Overview

Make runtime validation auditable by tying observed behavior to runtime evidence through stable IDs and artifacts.

Agents should not only say they tested something; they should leave run IDs, request IDs, logs, screenshots, interaction records, or traces. For shared harness terms, see ../../references/harness-patterns.md; when evidence surfaces are absent, use references/build-when-missing.md. For neutral runtime profiles and redaction policy, see references/runtime-profile-policy.md.

When To Use

  • The user asks to connect, diagnose, or design interactive validation, runtime validation, request IDs, traces, logs, metrics, or artifacts.
  • A production or test-environment issue must be traced from observed behavior to runtime evidence.
  • A flow with external dependencies needs classification as code failure, dependency blocker, environment issue, or data problem.

Inputs Needed

  • Target flow, entry action, command, or interface.
  • Existing logging, request wrapper, headers, and observability endpoints.
  • Artifact directory and run ID naming preference.

Execution Order

  • First: Find the request entrypoint and existing request/log/trace propagation points.
  • Then: Design run IDs, request IDs, artifact bundles, and collection commands.
  • Finally: Output the evidence contract and validation path, including fallback and blocker classification.

Step-by-Step Process

  1. Search request wrappers, service entrypoints, logs, metrics, and trace scripts.
  2. Confirm whether the calling surface can generate or propagate X-Request-ID and X-Harness-Run-ID.
  3. If no evidence contract exists, bootstrap the minimum run artifact contract from references/build-when-missing.md.
  4. Design artifacts/runs/<run_id>/ with manifest, summary, logs, network, screenshots, and trace files.
  5. Define the collection order for the target flow: start, authenticate if needed, operate, wait, read artifacts, and attribute the result.
  6. Define blocker categories: code regression, environment unavailable, external dependency unavailable, data missing, and not evaluable.
  7. Explain how PRs or ledgers should reference artifacts without committing large temporary files.

Checks

  • Propagation: request ID and run ID remain searchable across caller, service, job, and external dependency evidence.
  • Artifact: the directory includes manifest, summary, and reproducible commands.
  • Evidence: screenshots, console, network, logs, and metrics cover the failure boundary.
  • Attribution: external dependency or environment blockers are not reported as product-quality failures.
  • Privacy: artifacts do not contain tokens, phone numbers, real secrets, or sensitive payloads.

Output Format

# Runtime Evidence And Tracing

## Detected Mapping
- runtime-evidence:
- validation:
- ledger:

## ID Contract
- Run ID:
- Request ID:
- Header propagation:

## Artifact Bundle
-

## Collection Flow
1.
2.
3.

## Failure Classification
-

## PR / Ledger Reference
-

Common Mistakes

  • Keeping only screenshots with no request ID or runtime evidence.
  • Creating traces only in one layer, leaving observed failures disconnected.
  • Treating external account or quota issues as product-quality failures.
  • Committing large artifacts instead of referencing paths and summaries.

Example Prompts

  • "Connect interactive validation to request IDs."
  • "Design artifacts/runs evidence for this runtime workflow."
  • "How should this failure be classified: code, environment, or external blocker?"

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该仓技能数1910
原文件路径plugins/yfge/agent-harness-skills/skills/runtime-evidence-and-tracing/SKILL.md

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