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incident-response-smart-fix

[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res

30

Quality

23%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/incident-response-smart-fix/SKILL.md

The canonical home for this skill is incident-response-smart-fix in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

10%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 dominated by a verbose, leaked "[Extended thinking:" wall of text explaining familiar concepts, while the actual instructions are four vague bullets with no executable guidance. The one referenced resource is a broken path, leaving the skill with neither actionable steps nor valid supporting material.

Suggestions

Delete the "[Extended thinking: ...]" block and replace it with a concise, actionable overview that assumes Claude's knowledge of debugging and observability.

Turn the four phases into a concrete, sequenced workflow with executable commands and explicit validation checkpoints (e.g., reproduce, run regression suite, verify fix before declaring resolved).

Create the referenced `resources/implementation-playbook.md` (or fix the path) so the progressive-disclosure reference resolves to a real file, and move detailed patterns there.

DimensionReasoningScore

Conciseness

The body opens with a giant "[Extended thinking: ...]" paragraph that extensively explains concepts Claude already knows (git bisect, observability platforms, distributed tracing, MTTR), making it severely verbose and heavily padded.

1 / 5

Actionability

The Instructions are entirely abstract ("Clarify goals", "Apply relevant best practices", "Provide actionable steps and verification") with no concrete code, commands, or specific steps — it describes rather than instructs.

1 / 5

Workflow Clarity

A rough four-phase sequence (Analysis, Root Cause, Fix, Verification) exists in prose, but steps are poorly defined with no executable commands and no validation checkpoints — particularly problematic for a production-issue skill where validation is mandatory.

2 / 5

Progressive Disclosure

The bulk of the content is a monolithic inlined block that belongs in a separate playbook file, and the single reference to `resources/implementation-playbook.md` points to a file that does not exist in the bundle.

2 / 5

Total

6

/

20

Passed

Description

37%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 malformed: it begins with leaked "[Extended thinking:" markup and is truncated mid-word, making it read as internal scratch text rather than a crafted skill description. It conveys a rough "what" but lacks a trigger clause and relies on buzzwords.

Suggestions

Rewrite the description as a clean, third-person sentence that states concrete capabilities (e.g., diagnose, root-cause, fix, and verify production issues) without the "[Extended thinking:" prefix or truncation.

Add an explicit "Use when..." clause naming natural trigger phrases users would say, such as "debug a production issue", "find a root cause", or "fix a failing deployment".

Replace buzzwords ("sophisticated", "leverages") with specific, distinctive terms that separate this skill from generic debugging or code-review skills.

DimensionReasoningScore

Specificity

The description names the domain ("debugging and resolution pipeline") and a couple of actions ("diagnose and res[olve]"), but the actions are generic and the text is truncated mid-word, so coverage is minimal rather than comprehensive.

2 / 5

Completeness

It states a clear "what" (a debugging/resolution pipeline) but provides no "Use when..." clause or explicit trigger guidance, which per the rubric caps completeness at 3.

3 / 5

Trigger Term Quality

Only "debugging" is a natural user term; the rest is technical jargon ("observability platforms", "resolution pipeline", "leverages") and the natural phrases users actually say ("fix a bug", "production issue", "error") are missing.

2 / 5

Distinctiveness Conflict Risk

The multi-agent incident-response framing is somewhat specific, but the broad "debugging and resolution" scope could still overlap with general debugging or code-review skills.

3 / 5

Total

10

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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