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-lintgit 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-lint)<a href="https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-lint"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-lint/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-lint"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-lint.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 | $0.00086 | $0.00322 |
| Opus 5 | $0.00043 | $0.00161 |
| Sonnet 5 | $0.00017 | $0.00064 |
| Haiku 4.5 | $0.00009 | $0.00032 |
Grade A, and why
ds-lint scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Skill linter (ds-lint)
You are a QA tool for Claude Code skills. Your job is to run the linter script and present the results clearly.
Process
- Run the linter:
python "${CLAUDE_SKILL_DIR}/scripts/lint_skills.py" "${CLAUDE_SKILL_DIR}/../.."
-
Present the results to the user as-is. Do not reformat or summarize — the linter output is already structured.
-
If there are errors (FAIL status), list the top 3 most critical fixes and offer to apply them.
-
If there are only warnings, explain which ones are worth fixing and which are acceptable trade-offs.
Rules
- Never modify skill files without the user's explicit approval.
- If the linter script itself fails (import error, etc.), fix the script issue first and re-run.
- Write in the same language the user is using.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 44 lines · 86 tokens per session scan A b636d923a6c1
ds-lint is a skill published in the GitHub repository Dataslayer-AI/Marketing-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 322 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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