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debug-pipeline

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.

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill delivers concrete, executable MCP guidance with a strong error-analysis framework and report template. Its main weaknesses are mild redundancy between the preferred diagnostic path and the manual fallback steps, and implicit rather than explicit validation checkpoints.

Suggestions

Consolidate Steps 2–6 into a compact 'Manual fallbacks (when harness_diagnose is unavailable)' section, noting explicitly when to prefer them over the one-call diagnose path, to trim redundancy.

Add an explicit validation checkpoint before the Response Format step, e.g. 'Confirm all failed steps were checked and chained child pipelines were followed before writing the report', to make the diagnostic loop concrete.

Move the Analysis Framework error catalog (Build/Infra/Config/Deployment/Timeout/Artifact errors) into references/error-catalog.md and link to it, keeping SKILL.md as a lean overview with the diagnose flow.

DimensionReasoningScore

Conciseness

The body is efficient — concrete MCP call blocks, a parameter table, and error→fix mappings with no tutorial padding — but Steps 2–6 partially duplicate what 'harness_diagnose' already returns, and Performance Notes restate parameter behavior. Matches 'efficient; minor instances of over-explanation that could be trimmed' rather than the lean 5 anchor.

4 / 5

Actionability

Gives copy-paste-ready MCP invocations with exact parameter names and defaults ('include_logs: true', 'log_snippet_lines: 120'), a full parameter reference table, and an Examples section mapping user requests to specific tools. Fully executable guidance covering the common cases.

5 / 5

Workflow Clarity

The sequence is clear (Step 1 preferred, Step 1b deep mode, manual fallbacks) with a Troubleshooting recovery section, but checkpoints are implicit — there is no explicit step telling Claude to confirm all failed steps were examined or that chained-pipeline drill-down completed before writing the report. Fits 'clear sequence with most checkpoints present; minor validation gaps'.

4 / 5

Progressive Disclosure

Well-organized sections with easy header navigation and no nested references, but at ~172 lines the Analysis Framework error catalog and manual fallback steps could be split into a reference file. Fits 'good structure; most content appropriately placed; minor organization gaps' rather than the exemplary one-level-deep-reference structure.

4 / 5

Total

17

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: it states concrete capabilities in third-person voice, includes an explicit 'Use when' clause with natural trigger phrases, and carves out a distinct diagnostic niche. No changes needed.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities — 'structured reports with stage/step breakdown, timing, bottlenecks, failure details, chained pipeline drill-down, and execution logs' — covering both failed and successful executions. Matches the 'comprehensive coverage' anchor; the 4 anchor ('minor gaps in coverage') understates the breadth.

5 / 5

Completeness

Explicitly answers both what ('Diagnose Harness pipeline executions via MCP... produce structured reports with...') and when ('Use when asked to debug a pipeline, investigate a failure, find out why a build failed...'). Clear match to the top anchor.

5 / 5

Trigger Term Quality

Comprehensive natural terms including casual user phrasings ('why did my build fail', 'slow pipeline') alongside explicit trigger phrases ('debug pipeline, pipeline failed, ... execution bottleneck'). Matches the anchor requiring synonyms and natural variations.

5 / 5

Distinctiveness Conflict Risk

Clear Harness-pipeline niche with every trigger anchored in pipeline/build/execution language, minimizing conflict with generic log-analysis skills. Not a 4, since overlap risk with closely related skills is minimal given the domain-specific wording.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

harness/harness-ai

Path

plugins/claude/skills/debug-pipeline/SKILL.md

Reviewed

Table of Contents

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