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debugging-strategies

Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches.

45

Quality

47%

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SecuritybySnyk

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/debugging-strategies/SKILL.md

The canonical home for this skill is debugging-strategies in rmyndharis/antigravity-skills

SKILL.md
Quality
Evals
Security

Quality

Content

53%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-organized and token-efficient but its instructions stay at a high level of abstraction without executable detail, and the single referenced playbook does not exist in the bundle. Grounding the instructions in concrete commands/tools and fixing the dangling reference would meaningfully improve actionability and progressive disclosure.

Suggestions

Make instructions actionable by adding concrete tooling and commands (e.g., specific log-grep patterns, a binary-search scoping recipe, or example instrumentation snippets) rather than abstract directives.

Add an explicit validation/verification checkpoint to the workflow (e.g., 'Confirm the fix by re-running the original repro and checking the symptom is gone before closing').

Resolve the dangling reference: create the playbook under the project's references/ convention or correct the path, and ensure the in-body reference matches the actual bundle filename.

DimensionReasoningScore

Conciseness

The body is lean, well-sectioned, and assumes Claude's competence without explaining what debugging is; the only trimmable redundancy is the opening tagline that repeats the frontmatter description verbatim, placing it just below the fully lean score-5 anchor.

4 / 5

Actionability

Instructions are high-level hints ('Form hypotheses and design controlled experiments', 'Narrow scope with binary search and targeted instrumentation') with no concrete commands, tooling, or worked examples, matching the 'minimal concrete guidance; high-level hints but missing the specific steps' anchor rather than the score-3 anchor which expects more concrete detail.

2 / 5

Workflow Clarity

The instruction bullets form a recognizable sequence (reproduce, hypothesize, narrow, document, verify) but lack explicit validation checkpoints or error-recovery loops, matching the 'steps listed but validation gaps' anchor; debugging is not inherently destructive/batch so the score-3 cap does not apply, yet no checkpoints keeps it from a 4.

3 / 5

Progressive Disclosure

Content is cleanly sectioned (Use when / Do not use / Instructions / Resources) and signals a single one-level-deep reference to the playbook in two places, matching the 'good structure; references mostly clear' anchor; it is not a 5 because the referenced path 'resources/implementation-playbook.md' does not correspond to any bundle file and uses 'resources/' rather than the project's references/ convention.

4 / 5

Total

13

/

20

Passed

Description

41%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 identifies a clear niche (debugging) but leans on buzzword-heavy language and omits any explicit 'when to use' trigger guidance, which caps its completeness. Adding concrete actions and natural trigger phrases would lift specificity, trigger-term quality, and completeness together.

Suggestions

Replace abstract phrasing ('proven strategies, powerful tools, methodical approaches') with concrete actions such as 'reproduce issues, form hypotheses, run binary-search instrumentation, and verify fixes'.

Add an explicit 'Use when...' clause listing natural triggers users say (e.g., 'Use when tracking down elusive bugs, investigating performance issues, or analyzing crash dumps and stack traces').

Include common synonyms and concrete signal terms (bugs, troubleshooting, crash dumps, stack traces, logs) to improve trigger-term coverage and distinctiveness.

DimensionReasoningScore

Specificity

The description names the domain (debugging) but relies on generic marketing phrasing like 'proven strategies, powerful tools, and methodical approaches' rather than naming concrete actions, fitting the 'names the domain but actions are minimal or generic' anchor and sitting below the score-3 anchor that requires 1-2 concrete actions.

2 / 5

Completeness

A 'what' is present (transform debugging into systematic problem-solving) but there is no 'Use when...' clause or equivalent trigger guidance, and per the rubric a missing trigger clause caps completeness at 3; it is not a 4 because the 'when' is entirely absent rather than merely imprecise.

3 / 5

Trigger Term Quality

Only 'debugging' acts as a natural keyword; common user phrases like 'track down a bug', 'troubleshoot', 'crash', 'stack trace', or 'performance issue' are absent, so coverage matches the 'one or two generic keywords; missing the natural phrases' anchor rather than the broader score-3 anchor.

2 / 5

Distinctiveness Conflict Risk

Debugging is a recognizable niche with distinct triggers and only minor overlap risk against general coding skills, matching the 'mostly distinct; minor overlap risk' anchor rather than the score-5 anchor whose trigger phrases are more explicit and concrete.

4 / 5

Total

11

/

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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