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error-debugging-error-analysis

You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.

49

Quality

52%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/error-debugging-error-analysis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

46%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 body is well-structured and concisely sectioned, but its instructions remain high-level directives with no concrete executable commands or code, and the referenced playbook file is missing from the bundle. The destructive production-change workflow also lacks an explicit validate→fix→retry feedback loop, capping workflow clarity.

Suggestions

Add concrete, executable guidance to the Instructions — example tracer/log commands (e.g., grep/jaeger/kubectl), a sample structured-log query, or a minimal code snippet for correlating traces — instead of only high-level bullets.

Either provide the referenced resources/implementation-playbook.md or remove the dangling reference, since the file is absent from the bundle.

Insert an explicit validation/feedback checkpoint into the workflow (e.g., "validate the fix in a non-prod environment and confirm rollback readiness before any production change") to lift the workflow-clarity cap for destructive operations.

DimensionReasoningScore

Conciseness

The body is mostly efficient and well-sectioned, but it opens by repeating the description verbatim ("You are an expert error analysis specialist with deep expertise in...") which is padded persona restatement, and the Context section mildly over-explains the lifecycle, fitting the "mostly efficient but includes some unnecessary explanation or could be tightened" anchor.

3 / 5

Actionability

The Instructions are high-level directives ("Gather error context...", "Reproduce or narrow the issue with targeted experiments", "Identify root cause and validate with evidence") with no concrete commands, code, tool invocations, or specific executable steps, and the detailed playbook it defers to does not exist — matching the "minimal concrete guidance; high-level hints but missing the specific steps to execute" anchor.

2 / 5

Workflow Clarity

A clear 4-step sequence is present (Gather → Reproduce → Identify root cause → Propose fixes) with one implicit validation note ("validate with evidence"), but because this skill performs destructive/risky operations (production fixes, incident response) without an explicit validate→fix→retry feedback loop or a rollback-gated proceed checkpoint, workflow clarity is capped at 3 per the rubric's destructive-operation rule.

3 / 5

Progressive Disclosure

The body is cleanly sectioned (Use/Do not use, Context, Requirements, Instructions, Safety, Resources) with a clearly signaled one-level-deep reference to resources/implementation-playbook.md, fitting the "good structure; most content appropriately placed; references mostly clear" anchor; it is not a 5 because that referenced file does not actually exist in the bundle.

4 / 5

Total

12

/

20

Passed

Description

58%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 a strong, concrete capability statement for an error-analysis specialist but omits an explicit "Use when..." trigger clause and lacks natural user-facing keywords like logs, traces, and stack traces. These gaps keep completeness and trigger-term quality at the midpoint despite good specificity and distinctiveness.

Suggestions

Add an explicit "Use when..." clause to the description naming concrete triggers (e.g., "Use when investigating production incidents, recurring errors, or root-cause analysis across services").

Include natural user-facing keywords and synonyms in the description such as "logs", "traces", "stack traces", and "error reports" to improve trigger-term coverage.

Expand the concrete action list toward comprehensiveness (e.g., add "correlating traces across services", "analyzing structured logs") to push specificity from 4 to 5.

DimensionReasoningScore

Specificity

Names the domain and lists several concrete actions — "debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions" — but coverage of error-analysis actions is not exhaustive, matching the anchor for several specific actions with minor gaps rather than comprehensive coverage at 5.

4 / 5

Completeness

It clearly states the "what" (error analysis, debugging, observability) but contains no explicit "Use when..." trigger clause in the description field — the trigger guidance lives only in the body — so per the rubric a missing explicit trigger clause caps completeness at 3.

3 / 5

Trigger Term Quality

It includes some relevant keywords ("production incidents", "observability") but is missing common natural terms and synonyms users actually say such as "logs", "traces", "stack traces", or "errors", placing it at the "some relevant keywords but missing common variations" anchor.

3 / 5

Distinctiveness Conflict Risk

It carves a fairly specific niche (distributed-systems error analysis and observability) with low conflict risk, though the broad observability/error-handling scope leaves minor overlap with general debugging skills, fitting the "mostly distinct; minor overlap risk" anchor rather than the clearly-niched 5.

4 / 5

Total

14

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

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