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lightrun-slow-execution-diagnosis

Diagnose performance incidents in running services with Lightrun MCP: slow endpoints, latency or SLO regressions, timeouts, deadline-exceeded errors, hangs, and slowness that is intermittent, sporadic, occasional, happens only sometimes, or appears only under load. Use when diagnosing a performance incident; prefer this over lightrun-live-runtime-debugging, including for mixed slow-and-incorrect cases. Use slow-execution snapshots when a duration boundary separates problematic executions; use focused active-path snapshots or call stacks for known hangs that may not reach an end marker. Select the narrowest code section, derive an evidence-based threshold, and correlate captured state with code and telemetry. Use lightrun-live-runtime-debugging for non-performance diagnosis and lightrun-ask-prod for one-off timing, when available; otherwise report the scope gap. Do not use for pull-request review, code changes, setup, deployment, or post-deployment performance validation.

71

Quality

88%

Does it follow best practices?

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SecuritybySnyk

The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

77%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 body is well-structured, actionable, and clearly sequenced with validation checkpoints and feedback loops. Its main weakness is progressive disclosure: it references bundle files that are not present, breaking navigation to the detail it depends on.

Suggestions

Add the missing references/mcp-tool-discovery.md and references/slow-execution-snapshot-workflow.md files, or remove the references and inline the essential steps so the skill is self-contained.

Trim governing parentheticals like 'Treat exposed schemas and descriptions as authoritative' to improve token efficiency.

Make the non-threshold capture path as concrete as the slow-execution quickstart by showing a representative regular-snapshot create call.

DimensionReasoningScore

Conciseness

Lean imperative prose with no basic-concept padding and an efficient quickstart block; a few governing clauses ('Treat exposed schemas and descriptions as authoritative') could be trimmed. Not a 5 because minor tightening remains.

4 / 5

Actionability

Provides a concrete copy-paste execution_duration_create({...}) call with real parameters and named poll branches; mostly executable but the surrounding guidance stays somewhat abstract, leaving minor gaps versus fully copy-paste-ready across all cases.

4 / 5

Workflow Clarity

Sequenced phases (Preflight, Checkpoint, evidence path, target selection, runtime support, capture, return) with an explicit checkpoint ('Proceed to evidence-path selection only after source discovery passes') and feedback loops for create/retry and action disposition on destructive runtime actions.

5 / 5

Progressive Disclosure

The body signals two one-level-deep references (references/mcp-tool-discovery.md, references/slow-execution-snapshot-workflow.md), but the references/ directory does not exist in the bundle, so the referenced paths are missing despite being clearly signaled.

3 / 5

Total

16

/

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, comprehensive natural trigger terms with synonyms, explicit what/when guidance, and clear boundaries against sibling skills. It is dense without padding.

DimensionReasoningScore

Specificity

Lists multiple concrete actions—'Select the narrowest code section, derive an evidence-based threshold, and correlate captured state with code and telemetry'—plus specific snapshot types and error classes, giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both what (diagnose performance incidents via snapshots/thresholds) and when ('Use when diagnosing a performance incident; prefer this over lightrun-live-runtime-debugging') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural terms with synonyms: 'slow endpoints, latency or SLO regressions, timeouts, deadline-exceeded errors, hangs' and 'intermittent, sporadic, occasional, happens only sometimes...under load'.

5 / 5

Distinctiveness Conflict Risk

Names sibling skills (lightrun-live-runtime-debugging, lightrun-ask-prod) and explicit exclusions ('Do not use for pull-request review, code changes, setup, deployment'), carving a clear niche with minimal conflict risk.

5 / 5

Total

20

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 missing

Warning

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

14

/

16

Passed

Repository
lightrun-platform/lightrun-ai
Reviewed

Table of Contents

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