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 docxology/template --skill publication-auditgit clone --depth 1 https://github.com/docxology/templateWrote 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/docxology/template/publication-audit)<a href="https://agentmods.dev/skills/docxology/template/publication-audit"><img src="https://agentmods.dev/badge/skills/docxology/template/publication-audit.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.00387 |
| Opus 5 | $0.00034 | $0.00193 |
| Sonnet 5 | $0.00013 | $0.00077 |
| Haiku 4.5 | $0.00007 | $0.00039 |
Grade A, and why
template-publication-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 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.
What it actually says
Publication audit workflow
Use the deterministic infrastructure gate first:
uv run python -m infrastructure.validation.cli publication-audit \
--project templates/template_code_project --strict --rendered --format markdown
Then run the project’s tests, methods plan, prerender gate, render, output
validation, no-mock inventory, and clean double-run comparison. Treat only
stable validator failures as blocking. Preserve review_required findings for
human assessment of scientific scope, unsupported generalization, prose, and
visual quality.
Required evidence
- real tests and zero prohibited mock frameworks;
- source-backed claim ledger and evidence registry;
- methods-to-stage-to-artifact mapping with definitions of done;
- figure registry with labels, captions, provenance, and existing files;
- generated artifact manifest and validation report;
- clean rendered PDF/HTML/slides where supported;
- second-run comparison with no unexplained differences.
Never hand-edit generated output. Correct the source producer or manuscript source and regenerate the affected artifacts.
What ships with it
2 files 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.
- 7d ago First seen · 51 lines · 67 tokens per session scan A 8983c5e500d8
template-publication-audit is a skill published in the GitHub repository docxology/template (19 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 387 once invoked, about $0.0003 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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