CtrlK
BlogDocsLog inGet started
Tessl Logo

error-debugging-multi-agent-review

Use when working with error debugging multi agent review

31

Quality

25%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

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

The canonical home for this skill is error-debugging-multi-agent-review in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

25%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 content reads as an architecture design document padded with non-executable pseudocode rather than actionable skill instructions. It lacks concise guidance, real executable steps, a validated workflow, and verified external references.

Suggestions

Replace stub functions with one minimal end-to-end runnable example (real CLI or script invocation) that Claude can actually execute, and move extended design notes to a separate file.

Add an explicit numbered workflow with a validation checkpoint, e.g. run review → validate findings → fix gaps → re-review, since this is a batch operation.

Either create the referenced resources/implementation-playbook.md or remove the dangling reference, and keep SKILL.md as a lean overview pointing one level deep to it.

DimensionReasoningScore

Conciseness

The body is noticeably verbose, padding concepts Claude already knows (Depth/Breadth/Intelligence/Adaptability) and restating orchestration ideas across stub functions, fitting the verbose anchor rather than the mostly-efficient one.

2 / 5

Actionability

The Python snippets are stubs/pseudocode relying on undefined helpers (is_web_application, ConflictResolutionEngine, ReviewOptimizer, QualityScoreCalculator), offering only high-level hints without executable steps.

2 / 5

Workflow Clarity

There is a rough conceptual sequence (selection, context, execution, synthesis) but no concrete ordered procedure, and despite batch review operations there is no validate→fix→retry feedback loop, capping the score.

2 / 5

Progressive Disclosure

The body inlines a monolithic wall of stub code that belongs in separate files, and its one reference (resources/implementation-playbook.md) does not exist in the bundle, leaving references buried and unverified.

2 / 5

Total

8

/

20

Passed

Description

25%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 a single generic sentence that names a domain but states no concrete capabilities and uses unnatural keyword-stuffed phrasing. It lacks both a clear 'what' and natural trigger terms, capping its quality well below the midpoint.

Suggestions

Replace the domain-only phrasing with specific actions, e.g. 'Coordinates specialized agents to perform multi-perspective code review across security, architecture, and performance dimensions.'

Add natural trigger terms a user would actually say, such as 'multi-agent code review', 'parallel review of a pull request', or 'cross-perspective code analysis'.

Explicitly pair 'what' with 'when', e.g. '... Use when the user wants a multi-perspective, agent-coordinated review of a codebase or PR.'

DimensionReasoningScore

Specificity

The description only names the domain ('error debugging multi agent review') with no concrete actions, matching the anchor for minimal/generic actions rather than the entirely-vague anchor at 1.

2 / 5

Completeness

It supplies a weak 'when' clause but no 'what' actions, matching the anchor where only 'when' is present without a clear 'what'.

2 / 5

Trigger Term Quality

The phrase 'error debugging multi agent review' is keyword-stuffed jargon rather than natural user speech, with only one or two generic terms and no synonyms or common variants.

2 / 5

Distinctiveness Conflict Risk

The generic phrasing and the broad 'error debugging' scope create high overlap risk with many similar skills, fitting the very-broad/high-overlap anchor.

2 / 5

Total

8

/

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

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.