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ac-spec-parser

Parse and validate project specifications. Use when loading YAML/JSON specs, validating spec structure, extracting requirements, or converting between spec formats.

Quality

84%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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.

A well-structured body: terse sections, a concrete Quick Start, an explicit validation step with rules, and a properly signaled one-level reference to the bundled script. Remaining gaps are minor — slight duplication between intro and Purpose, non-copy-paste Quick Start, and no validation-failure recovery guidance.

DimensionReasoningScore

Conciseness

The body is efficient — no explanations of concepts Claude already knows, and the schema block earns its tokens. Minor trimmable redundancy: the intro line and "Purpose" section restate the frontmatter description.

4 / 5

Actionability

The Quick Start gives near-executable code ("from scripts.spec_parser import SpecParser", "spec = await parser.parse(\"spec.yaml\")") and Validation Rules are concrete checks, but the snippet isn't fully copy-paste ready (project_dir undefined) and Workflow steps like "Load: Read spec file from disk" lack command-level specifics.

4 / 5

Workflow Clarity

The Load → Parse → Validate → Normalize → Export sequence is clear and validation has an explicit step backed by concrete Validation Rules. It falls short of 5 because there is no error-recovery feedback loop (what to do when validation fails), though parsing is read-only so the destructive-operation cap does not apply.

4 / 5

Progressive Disclosure

Clear overview with well-signaled, one-level-deep references: "See `scripts/spec_parser.py` for full implementation" points to the real bundled file, and content is appropriately split — usage, schema, and rules in SKILL.md, implementation in the script. Sections are well organized and easy to navigate.

5 / 5

Total

17

/

20

Passed

Description

83%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 strong description: clear third-person statement of capability followed by an explicit 'Use when' clause with concrete, natural trigger phrases. It only falls slightly short of top marks on trigger synonym coverage and breadth of the action list.

DimensionReasoningScore

Specificity

"Parse and validate project specifications" names the domain plus several concrete actions (parse, validate, load, extract requirements, convert formats), but coverage has minor gaps — e.g., Markdown parsing (supported per the body) is never mentioned in the description.

4 / 5

Completeness

It explicitly answers both parts: "what" via "Parse and validate project specifications" and "when" via "Use when loading YAML/JSON specs, validating spec structure, extracting requirements, or converting between spec formats" — concrete trigger phrases mirroring the anchor-5 example.

5 / 5

Trigger Term Quality

Triggers like "loading YAML/JSON specs", "validating spec structure", "extracting requirements", "converting between spec formats" are natural phrases for this task, but common variations and file extensions (.yaml, .yml, spec files) are missing.

4 / 5

Distinctiveness Conflict Risk

The project-spec parsing niche is fairly distinct with specific triggers, but phrases like "loading YAML/JSON specs" and "validating spec structure" carry minor overlap risk with generic YAML/JSON validation skills.

4 / 5

Total

17

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

fernandezbaptiste/Skrillz

Path

skills/ac-spec-parser/SKILL.md

Reviewed

Table of Contents

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