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error-detective

Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Passed

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

Quality

Content

42%Weight 40%Scale 1-3

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 and appropriately scoped for a small skill, but it stays at the level of areas and output categories rather than executable guidance. Concrete regex/query examples and a tighter, less templated intro would materially raise the actionability and conciseness scores.

Suggestions

Add concrete, copy-paste-ready examples: sample error-extraction regexes and an actual Elasticsearch/Splunk query instead of only naming the categories.

Replace the generic 'Use this skill when' / 'Instructions' boilerplate ('Working on error detective tasks or workflows', 'Clarify goals, constraints…') with skill-specific guidance or remove it to improve token efficiency.

Insert a validation checkpoint in the Approach workflow — e.g., a step to confirm a root-cause hypothesis against the evidence timeline before reporting it — to add an explicit feedback loop.

DimensionReasoningScore

Conciseness

The body is mostly lean and avoids explaining concepts Claude already knows, but generic boilerplate like 'Working on error detective tasks or workflows' and 'Clarify goals, constraints, and required inputs' are templated filler that add tokens without value — keeping it at level 2 rather than the fully lean level 3.

2 / 3

Actionability

It describes categories ('Regex patterns for error extraction', 'Log aggregation queries (Elasticsearch, Splunk)') without providing any actual regex, queries, commands, or code, matching the level-1 anchor of describing rather than instructing.

1 / 3

Workflow Clarity

The Approach section lists a numbered sequence (symptoms → patterns → correlation → cascades → spikes), but there are no explicit validation checkpoints or feedback loops for confirming a root-cause hypothesis, matching the level-2 anchor of a present sequence with missing checkpoints.

2 / 3

Progressive Disclosure

The skill is under 50 lines with a single purpose and no external references needed, yet is organized into clearly labeled sections (Focus Areas, Approach, Output), satisfying the simple-skill exception that lets progressive disclosure score 3 on well-organized sections alone.

3 / 3

Total

8

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 strong: it names specific capabilities, uses natural trigger terms in third person, and explicitly states when to invoke the skill. No meaningful gaps; it reads like the good overall examples.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Search logs and codebases for error patterns, stack traces, and anomalies', 'Correlates errors across systems', 'identifies root causes' — matching the highest anchor rather than the single-action level 2.

3 / 3

Completeness

Clearly answers what it does and when to use it via the explicit 'Use PROACTIVELY when…' clause, satisfying the level-3 anchor that requires both an explicit what and an explicit when.

3 / 3

Trigger Term Quality

Natural user-facing terms appear throughout: 'debugging issues', 'analyzing logs', 'investigating production errors', 'stack traces', 'anomalies' — good coverage of what a user would actually say, not just jargon.

3 / 3

Distinctiveness Conflict Risk

The error-detective / log-analysis niche with concrete triggers is unlikely to overlap with unrelated skills, and voice is consistently third person ('Search', 'Correlates', 'identifies').

3 / 3

Total

12

/

12

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
rmyndharis/antigravity-skills
Reviewed

Table of Contents

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