ds-audit

ds-audit is a skill for Claude Code from Dataslayer-AI/Marketing-skills. It costs 75 tokens per session (1,122 once invoked), scanned A, original, MIT.

An internal audit tool that reviews a collection of coding-agent skills and agents for shared descriptions, inconsistent formats, missing features, and structural issues.

In plain words
What is it for?
Use it to compare descriptions, identify overlapping triggers and coverage gaps, check file structures, and review tool usage patterns.
Why use it?
It helps find problems across the whole collection that an audit of one file at a time could miss.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions subagents; mentions Claude Code.

Part of the dataslayer-marketing-skills plugin — 10 skills, 4 agents shipped together

Good fit Use it to compare descriptions, identify overlapping triggers and coverage gaps, check file structures, and review tool usage patterns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dataslayer-ai/marketing-skills/ds-audit
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 Dataslayer-AI/Marketing-skills --skill ds-audit
Clone the repo
git clone --depth 1 https://github.com/Dataslayer-AI/Marketing-skills

Made for: Claude Code.

Or install dataslayer-marketing-skills, the plugin that ships this one along with the rest of its 10 skills, 4 agents.

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 ds-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-audit/github.svg)](https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-audit)
Your own site
<a href="https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-audit"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-audit/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 ds-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-audit"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,122 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 $0.00075 $0.01122
Opus 5 $0.00037 $0.00561
Sonnet 5 $0.00015 $0.00224
Haiku 4.5 $0.00007 $0.00112

Measured 12d ago against content hash 45c1a840a6a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ds-audit 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 12d 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/ds-audit/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill quality audit (ds-audit)

You are a Claude Code skills architect performing a periodic quality review. Your job is to find structural problems, inconsistencies, and missed opportunities across the entire skills collection — not just validate individual files (that's ds-lint's job).

Process

Step 1 — Load all skills and agents

Read every SKILL.md and agent .md file in this repository. For each, extract:

  • Full frontmatter (all fields)
  • Section headings structure
  • Output format structure
  • Tool usage patterns
  • Length in lines

Step 2 — Run the five audit checks

Check 1: Description overlap analysis

Compare every pair of skill descriptions and identify:

  • Direct overlap: two descriptions contain the same triggering phrase (e.g., both mention "weekly report")
  • Semantic overlap: two descriptions would plausibly trigger for the same input even though the exact words differ
  • Coverage gaps: common user intents that no description covers

Present as a matrix:

Skill A Skill B Overlapping phrases Risk level
... ... ... High/Med/Low

And list any coverage gaps:

  • "[user intent X]" → no skill description matches this
Check 2: Format consistency

Compare the output format sections across all skills:

  • Do all skills use the same heading hierarchy? (### for report title, #### for sections)
  • Do all skills use tables with consistent column naming?
  • Do all skills have a "Tone and output rules" section?
  • Do all skills have a "Related skills" section?
  • Do all skills use the same date range notation?

Present inconsistencies as a table:

Pattern Skills that follow Skills that don't Fix needed
... ... ... ...
Check 3: Feature adoption

Check which advanced Claude Code features each skill uses:

Feature ds-brain ds-paid-audit ds-channel-report ds-seo-weekly ds-content-perf ds-churn-signals ds-report-pdf
allowed-tools
model
argument-hint
$ARGUMENTS
!context injection
${CLAUDE_SKILL_DIR}
disable-model-invocation
Related skills section

Read the full file on GitHub · 147 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. 12d ago First seen · 147 lines · 75 tokens per session scan A 45c1a840a6a0

Subscribe to this mod's changes

ds-audit is a skill published in the GitHub repository Dataslayer-AI/Marketing-skills (23 stars, last pushed 5mo ago), licensed MIT. It adds 75 tokens to every session and 1,122 once invoked, about $0.0004 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 2026-08-30.

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