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.
npx skills add Dataslayer-AI/Marketing-skills --skill ds-auditgit clone --depth 1 https://github.com/Dataslayer-AI/Marketing-skillsWrote 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.
[](https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-audit)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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 |
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.
- 12d ago First seen · 147 lines · 75 tokens per session scan A 45c1a840a6a0
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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