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lightrun-live-runtime-debugging

Guide deterministic runtime investigations in live environments using Lightrun MCP tools, with preflight gating, recovery/resume rules, evidence-first diagnosis, and explicit blocker/handoff outputs.

64

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

The body is a well-structured, actionable runtime-debugging workflow with explicit validation gates, feedback loops, and clean progressive disclosure into a single reference file; its main weakness is verbosity and redundancy across the async-related sections.

Suggestions

Consolidate the repeated async activation-gate rules so the canonical statement lives in one section, with the Flow and checklist referencing it rather than restating it.

Tighten or remove near-duplicate bullets across 'Async Activation Gate', 'Async Runtime Action Protocol', and 'Investigation Principles' to reduce token cost.

DimensionReasoningScore

Conciseness

The body avoids teaching concepts Claude already knows and is information-dense, but it is long with overlapping restatements of the same rules (e.g. the async activation gate appears in the dedicated section, the protocol section, multiple Flow steps, and the checklist) that could be tightened.

2 / 3

Actionability

As an instruction-only skill it gives highly concrete guidance — exact persisted fields, polling budgets (60-90s), baseline windows (1800-3600s), terminal status enums, cleanup decision categories, and a fully specified output contract — so the absence of code is not penalized.

3 / 3

Workflow Clarity

A numbered 15-step Flow pairs each step with explicit Tools and Success criteria, with clear validation checkpoints (preflight pass/fail, async activation gate, mandatory cleanup gate), error-recovery feedback loops, and a closing checklist.

3 / 3

Progressive Disclosure

Shared discovery logic is split into a verified one-level-deep reference file (references/mcp-tool-discovery.md) reached via clearly signaled, anchored links, with no nested-reference chains.

3 / 3

Total

11

/

12

Passed

Description

67%

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 specific and distinctive, anchored to a named tool and concrete debugging actions, but it lacks an explicit "Use when..." trigger clause and misses common natural user phrasings for incident debugging.

Suggestions

Add a 'Use when...' clause naming natural triggers, e.g. 'Use when investigating live production incidents or runtime bugs with Lightrun.'

Incorporate common user terms such as 'incident', 'production bug', and 'debug' alongside 'runtime investigation' to improve trigger-term coverage.

DimensionReasoningScore

Specificity

Names multiple concrete actions — "preflight gating", "recovery/resume rules", "evidence-first diagnosis", and "blocker/handoff outputs" — rather than vague language.

3 / 3

Completeness

Clearly states what the skill does but provides no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 2 per the rubric.

2 / 3

Trigger Term Quality

Includes the named tool "Lightrun" and the reasonably natural phrase "runtime investigations in live environments", but omits common user phrasings like "incident", "production bug", or "debug", and leans on technical terms like "deterministic" and "evidence-first diagnosis".

2 / 3

Distinctiveness Conflict Risk

The pairing of "Lightrun MCP tools" with live runtime investigation is a clear niche unlikely to trigger for unrelated skills.

3 / 3

Total

10

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
lightrun-platform/lightrun-ai
Reviewed

Table of Contents

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