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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.

Quality

62%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/error-detective/SKILL.md

The canonical home for this skill is error-detective in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

42%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 compact and well-sectioned but reads as a high-level outline rather than an operating guide: no concrete regex patterns, query examples, or verification checkpoints anywhere, circular 'Use this skill when' boilerplate, and a dangling reference to a nonexistent implementation playbook. It needs executable specifics and a fixed or removed external reference to become genuinely useful.

Suggestions

Replace abstract hints with concrete, executable guidance: one or two real regex patterns for error extraction and a sample Elasticsearch/Splunk aggregation query.

Remove the circular 'Use this skill when / Do not use this skill when' boilerplate and the generic instruction bullets, which restate the skill name without adding information.

Fix or delete the dangling 'resources/implementation-playbook.md' reference — the file does not exist in the bundle — and add an explicit verification step in the Approach (e.g. how to validate a root-cause hypothesis against the log evidence).

DimensionReasoningScore

Conciseness

The Focus/Approach/Output sections are lean, but the circular boilerplate — 'Working on error detective tasks or workflows', 'The task is unrelated to error detective', and generic bullets like 'Clarify goals, constraints, and required inputs' — adds no value. Mostly efficient but includes unnecessary filler, matching anchor 3 rather than 4.

3 / 5

Actionability

Guidance stays abstract: 'Look for patterns across time windows', 'Check for cascading failures', 'Log aggregation queries (Elasticsearch, Splunk)' — no concrete regex example, sample query, or executable procedure. Even for an instruction-only skill, the steps to execute are missing, matching anchor 2; not 1 because it does instruct a real (if high-level) procedure.

2 / 5

Workflow Clarity

'## Approach' lists a coherent 5-step sequence from symptoms to 'Identify error rate changes and spikes', but validation checkpoints are entirely implicit — no step verifies the hypothesis against evidence. Matches anchor 3 ('Steps listed but validation gaps; checkpoints missing or implicit').

3 / 5

Progressive Disclosure

Sections are short and well-organized, but the single external reference is broken: 'resources/implementation-playbook.md' does not exist (no resources/, references/, scripts/, or assets/ directories are present), and its signaling is vague ('If detailed examples are required'). Structure is present but the one reference is a dangling, unclearly-signaled path, matching anchor 3.

3 / 5

Total

11

/

20

Passed

Description

66%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.

A solid, third-person description with concrete actions and good natural keywords, but it is missing any 'Use when' trigger clause, which caps completeness at 3 and leaves invocation guidance implicit. Adding an explicit usage trigger and a few common synonyms would lift it to the top band.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user mentions stack traces, error logs, crash investigation, or root cause analysis.'

Add natural synonyms users would say — 'debug', 'exceptions', 'traceback', 'crash' — to broaden trigger term coverage.

Name concrete outputs or tools (e.g. Elasticsearch/Splunk queries, regex extraction) to sharpen specificity and distinctiveness from generic debugging skills.

DimensionReasoningScore

Specificity

Names the domain ('logs and codebases') and several concrete actions — 'Search ... for error patterns, stack traces, and anomalies', 'Correlates errors across systems', 'identifies root causes' — with minor gaps in coverage (no tools or output artifacts named). Not 5 because coverage is not comprehensive; not 3 because more than 1-2 specific actions are listed.

4 / 5

Completeness

The 'what' is clear (search, correlate, identify root causes), but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. Not 4 because the 'when' is entirely absent rather than merely imprecise.

3 / 5

Trigger Term Quality

Good natural keyword coverage — 'logs', 'error patterns', 'stack traces', 'anomalies', 'root causes' — but common user phrasings like 'debug', 'exceptions', 'traceback', and 'crash' are missing. Matches anchor 4 ('Good keyword coverage; a few natural terms missing'), not 5 since synonyms and file extensions are absent.

4 / 5

Distinctiveness Conflict Risk

Clear niche in error/log analysis and root-causing with mostly distinct triggers; 'Search codebases for error patterns' creates minor overlap risk with general debugging/code-review skills. Matches anchor 4 ('Mostly distinct; minor overlap risk'), not 5 due to that overlap.

4 / 5

Total

15

/

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.

Validation — 15 / 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

Path

plugins/AI-Agents-Safe-Coding-Skills-claude/skills/error-detective/SKILL.md

Reviewed

Table of Contents

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