skill-quality-linter

skill-quality-linter is a skill for Claude Code, Codex from BuilderCed/agent-skills. It costs 30 tokens per session (970 once invoked), scanned A, original, MIT.

A checker for SKILL.md files, which are instruction files used to define coding-agent skills.

In plain words
What is it for?
Use it when creating, reviewing, auditing, or adding continuous checks for an agent skill.
Why use it?
It catches missing metadata, incorrect structure, outdated information, naming problems, and portability issues before a skill is published.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for cline. Also seen: mentions Codex; built for cline; mentions Gemini CLI.

Good fit Use it when creating, reviewing, auditing, or adding continuous checks for an agent skill.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/builderced/agent-skills/skill-quality-linter
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add BuilderCed/agent-skills --skill skill-quality-linter
Clone the repo
git clone --depth 1 https://github.com/BuilderCed/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-quality-linter

README.md
[![agentmods](https://agentmods.dev/badge/skills/builderced/agent-skills/skill-quality-linter.svg)](https://agentmods.dev/skills/builderced/agent-skills/skill-quality-linter)
Your own site
<a href="https://agentmods.dev/skills/builderced/agent-skills/skill-quality-linter"><img src="https://agentmods.dev/badge/skills/builderced/agent-skills/skill-quality-linter.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 970 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00970
Opus 5 $0.00015 $0.00485
Sonnet 5 $0.00006 $0.00194
Haiku 4.5 $0.00003 $0.00097

Measured 7d ago against content hash 60b2f8c15c88, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

skill-quality-linter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/security/skill-quality-linter/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Quality Linter

When to Use

  • Before publishing a new skill to a registry
  • Reviewing a skill PR
  • Auditing existing skill quality
  • Setting up CI for a skill repository

Lint Checks

1. Frontmatter (Required Fields)

Field Required Format
name YES kebab-case, matches directory name
description YES 1 line, max 250 chars, starts with verb
version YES Semver (X.Y.Z)
last-updated YES YYYY-MM-DD, not in future
platforms YES Array of known platform names
license YES Valid SPDX identifier
dependencies RECOMMENDED Object with mcp, skills, apis, data
update_sources RECOMMENDED Array with url + check_frequency
language RECOMMENDED ISO 639-1 (en, fr, etc.)
geo_relevance RECOMMENDED Array (global, fr, eu, africa, etc.)
category RECOMMENDED Matches parent directory name
priority OPTIONAL critical, high, medium, low

2. Structure

Check Rule
Starts with --- Valid YAML frontmatter
Has # Title H1 heading after frontmatter
Has ## When to Use Trigger conditions documented
Has ## What This Skill Does NOT Do Limitations section present
No H1 other than title Single H1 only
Sections use H2 (##) Consistent hierarchy

3. Size Budget

Metric Limit Rationale
SKILL.md lines < 800 ETH Zurich: more = worse perf
SKILL.md tokens < 2500 Context window budget
SKILL.md + references/ < 3000 tokens Total load budget
references/ file count < 5 Keep focused

4. Portability

Check Rule
No tool-specific syntax No Read, Write, Bash, Edit references
No platform-specific imports No import, require, from in instructions
Natural language instructions Steps readable by any agent
Graceful degradation "If terminal available... otherwise..." pattern

5. Freshness

Read the full file on GitHub · 120 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 120 lines · 30 tokens per session scan A 60b2f8c15c88

Subscribe to this mod's changes

skill-quality-linter is a skill published in the GitHub repository BuilderCed/agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 970 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

matematic-konstytucja-ai

Generuje "Konstytucje AI" dla kancelarii prawnej - dokument governance definiujacy zasady uzycia AI w organizacji, na bazie cherry-pick patternu github/spec-kit (constitution -> spec -> plan -> tasks). 6 sekcji - mission, principles (max 9 articles), boundaries, governance roles, audit, evolution. Output - dokument…

matematicsolutions/awesome-matematic-skills-pl · 243 tokens

matematic-mcp-fastmcp-instructions-pl

Buduj nowy MCP server MateMatic (lub retrofit istniejacego) z 9 elementami (5 zwalidowanych na dograh v1.31.0) - FastMCP(instructions=) z procedural orchestration, drift test, dwukanalowy auth X-API-Key LUB Bearer, OTel atrybut orgid dla per-tenant routing, ToolAnnotations dla read-only, stabilne kody bledow +…

matematicsolutions/awesome-matematic-skills-pl · 335 tokens

matematic-patron-pr-review-pl

Recenzent PR/diffow dla PATRONa - polski LegalTech AI agent dla kancelarii. Wylapuje regresje specyficzne dla repo PATRON ktorych nie zlapie generyczny lint - org scoping multi-tenant, authless routes, niespodzianki w migracjach SQLite/Postgres, bezposredni SQL poza warstwa db, brak worker sync w cache, UI bez…

matematicsolutions/awesome-matematic-skills-pl · 302 tokens

matematic-spec-driven

Spec-Driven Development dla wewnetrznych projektow MateMatic (PATRON, KGLF, POAS, skille, mikroprodukty, aplikacje). Cherry-pick + adaptacja patternu github/spec-kit (MIT) - 4 fazy (Konstytucja -> Specyfikacja -> Plan -> Zadania) plus opcjonalna walidacja. Wbudowany Constitution Check GATE z 4 bramkami MateMatic…

matematicsolutions/awesome-matematic-skills-pl · 320 tokens

adversarial-legal-review-pl

Czerwony zespół dla pisma prawnego - bierze gotowy deliverable wysokiej stawki (opinia, memo DD, M&A, pismo procesowe, rekomendacja do zarządu) i prowadzi kontradyktoryjną debatę: builder buduje najmocniejszą wersję tezy, attacker ją atakuje kontrargumentami i kontr-orzecznictwem, synthesizer godzi, verifier robi…

matematicsolutions/awesome-matematic-skills-pl · 268 tokens

citation-grounding-pl

Mechaniczny weryfikator cytatu dla tekstów prawnych po polsku z GRADIENTEM weryfikacji (ISTNIENIE / TREŚĆ / FRAGMENT) - sprawdza string-matchem, czy każdy cytat z orzeczenia, ustawy, umowy lub pisma faktycznie istnieje w dokumencie źródłowym, czy sygnatura jest realna i czy parafraza oddaje stanowisko sądu, zamiast…

matematicsolutions/awesome-matematic-skills-pl · 330 tokens