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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.

48

Quality

51%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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

Quality

Content

36%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads more like a role description or persona prompt than actionable technical guidance. It lacks concrete examples (regex patterns, log queries, stack trace parsing code) that would make it genuinely useful for error investigation tasks. The generic boilerplate sections and abstract instructions waste tokens without adding value.

Suggestions

Add concrete, executable examples: include actual regex patterns for common error extraction, sample Elasticsearch/Splunk queries, and a stack trace parsing snippet in at least one language.

Replace the vague 'Instructions' bullets ('Clarify goals, constraints, and required inputs') with specific first steps like 'grep for ERROR/FATAL in logs, extract timestamps, group by error type'.

Add a validation/verification step to the workflow, such as 'Confirm root cause hypothesis by checking if the error rate correlates with a specific deployment or config change'.

Remove or substantially tighten the generic 'Use this skill when' / 'Do not use this skill when' sections, which add no actionable information.

DimensionReasoningScore

Conciseness

The skill has some unnecessary boilerplate (the generic 'Use this skill when' / 'Do not use this skill when' sections add little value and are vague). The 'Instructions' section contains generic platitudes like 'Clarify goals, constraints, and required inputs' that Claude already knows. The focus areas and approach sections are reasonably concise but still somewhat padded.

3 / 5

Actionability

The skill provides only high-level direction with no concrete code, commands, regex patterns, or executable examples. Statements like 'Look for patterns across time windows' and 'Regex patterns for error extraction' describe outputs without showing how to produce them. No actual regex patterns, log query examples, or stack trace parsing code is provided.

2 / 5

Workflow Clarity

The 'Approach' section lists a rough sequence (5 steps) but they are vague and lack validation checkpoints. There's no feedback loop for verifying findings, no concrete commands or tools to use at each step, and no error recovery guidance. For a skill involving cross-system error correlation, the workflow is insufficiently detailed.

2 / 5

Progressive Disclosure

The skill references 'resources/implementation-playbook.md' for detailed examples, which is a reasonable progressive disclosure pattern. However, no bundle files exist to support this reference, and the main content itself is somewhat thin — it could benefit from more inline quick-start examples before pointing to external resources.

3 / 5

Total

10

/

20

Passed

Description

66%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 reasonably specific about its capabilities—searching logs, correlating errors, and identifying root causes—and uses natural trigger terms. Its main weakness is the absence of an explicit 'Use when...' clause, which limits Claude's ability to know precisely when to select this skill. Adding trigger guidance and a few more synonym terms would strengthen it.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about debugging errors, investigating stack traces, troubleshooting failures, or analyzing log files.'

Include additional natural trigger synonyms such as 'debugging', 'troubleshooting', 'exceptions', 'error messages', and 'log files' to improve matching coverage.

DimensionReasoningScore

Specificity

Lists several specific actions: searching logs/codebases for error patterns, stack traces, and anomalies; correlating errors across systems; identifying root causes. Minor gaps—doesn't mention specific output formats or tooling details.

4 / 5

Completeness

Has a clear 'what' (search logs/codebases for errors, correlate across systems, identify root causes) but lacks an explicit 'when' clause. There is no 'Use when...' guidance, which caps this at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes good natural keywords like 'logs', 'error patterns', 'stack traces', 'anomalies', 'root causes' that users would naturally say. Missing some common variations like 'debugging', 'troubleshooting', 'exceptions', 'log files', or 'error messages'.

4 / 5

Distinctiveness Conflict Risk

Fairly distinct with its focus on error pattern searching, cross-system correlation, and root cause analysis. Could have minor overlap with general debugging or log analysis skills, but the combination of capabilities is reasonably unique.

4 / 5

Total

15

/

20

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

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

Table of Contents

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