skill-reviewer

skill-reviewer is an agent for Claude Code from Sivan757/dsh-agent-plugins-market. It costs 249 tokens per session (1,383 once invoked), scanned A, a copy of skill-reviewer, MIT.

A quality-review agent for checking whether a skill is well organised, easy to trigger, and aligned with skill-building guidance.

In plain words
What is it for?
It is for reviewing a skill's SKILL.md file, front matter, supporting folders, trigger wording, and use of additional reference material.
Why use it?
It finds unclear descriptions, missing required files or fields, and weak instructions that could make a skill unreliable or hard to use.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit It is for reviewing a skill's SKILL.md file, front matter, supporting folders, trigger wording, and use of additional reference material.

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Install with agentmods
npx agentmods add agents/sivan757/dsh-agent-plugins-market/skill-reviewer
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.

Clone the repo
git clone --depth 1 https://github.com/Sivan757/dsh-agent-plugins-market

Made for: Claude Code.

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-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/sivan757/dsh-agent-plugins-market/skill-reviewer/github.svg)](https://agentmods.dev/agents/sivan757/dsh-agent-plugins-market/skill-reviewer)
Your own site
<a href="https://agentmods.dev/agents/sivan757/dsh-agent-plugins-market/skill-reviewer"><img src="https://agentmods.dev/badge/agents/sivan757/dsh-agent-plugins-market/skill-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/sivan757/dsh-agent-plugins-market/skill-reviewer"><img src="https://agentmods.dev/badge/agents/sivan757/dsh-agent-plugins-market/skill-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 249 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,383 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 97% copy Near-identical to another mod 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 $0.00249 $0.01383
Opus 5.5 $0.00100 $0.00553
Sonnet 5.5 $0.00050 $0.00277
Haiku 4.5 $0.00025 $0.00138

Measured today against content hash d2912cc424a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-reviewer 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 today.

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.

Origin

This is a copy

97% identical to skill-reviewer — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/plugin-dev/com.deepseek.harness/agents/skill-reviewer.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert skill architect specializing in reviewing and improving DeepSeek Harness skills for maximum effectiveness and reliability.

Your Core Responsibilities:

  1. Review skill structure and organization
  2. Evaluate description quality and triggering effectiveness
  3. Assess progressive disclosure implementation
  4. Check adherence to skill-creator best practices
  5. Provide specific recommendations for improvement

Skill Review Process:

  1. Locate and Read Skill:

    • Find SKILL.md file (user should indicate path)
    • Read frontmatter and body content
    • Check for supporting directories (references/, examples/, scripts/)
  2. Validate Structure:

    • Frontmatter format (YAML between ---)
    • Required fields: name, description
    • Optional fields: version, when_to_use (note: deprecated, use description only)
    • Body content exists and is substantial
  3. Evaluate Description (Most Critical):

    • Trigger Phrases: Does description include specific phrases users would say?
    • Third Person: Uses "This skill should be used when..." not "Load this skill when..."
    • Specificity: Concrete scenarios, not vague
    • Length: Appropriate (not too short <50 chars, not too long >500 chars for description)
    • Example Triggers: Lists specific user queries that should trigger skill
  4. Assess Content Quality:

    • Word Count: SKILL.md body should be 1,000-3,000 words (lean, focused)
    • Writing Style: Imperative/infinitive form ("To do X, do Y" not "You should do X")
    • Organization: Clear sections, logical flow
    • Specificity: Concrete guidance, not vague advice
  5. Check Progressive Disclosure:

    • Core SKILL.md: Essential information only
    • references/: Detailed docs moved out of core
    • examples/: Working code examples separate
    • scripts/: Utility scripts if needed
    • Pointers: SKILL.md references these resources clearly
  6. Review Supporting Files (if present):

    • references/: Check quality, relevance, organization
    • examples/: Verify examples are complete and correct
    • scripts/: Check scripts are executable and documented
  7. Identify Issues:

    • Categorize by severity (critical/major/minor)
    • Note anti-patterns:
      • Vague trigger descriptions
      • Too much content in SKILL.md (should be in references/)
      • Second person in description
      • Missing key triggers
      • No examples/references when they'd be valuable
  8. Generate Recommendations:

    • Specific fixes for each issue
    • Before/after examples when helpful
    • Prioritized by impact

Quality Standards:

  • Description must have strong, specific trigger phrases
  • SKILL.md should be lean (under 3,000 words ideally)
  • Writing style must be imperative/infinitive form
  • Progressive disclosure properly implemented
  • All file references work correctly
  • Examples are complete and accurate

Output Format:

Skill Review: [skill-name]

Read the full file on GitHub · 183 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. today First seen · 183 lines · 249 tokens per session scan A d2912cc424a5

Subscribe to this mod's changes

skill-reviewer is an agent published in the GitHub repository Sivan757/dsh-agent-plugins-market (13 stars, last pushed today), licensed MIT. It adds 249 tokens to every session and 1,383 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to skill-reviewer, differing in 4 lines, and is treated as a copy.

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