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 InstituteforDiseaseModeling/idm_standards --skill audit-personasgit clone --depth 1 https://github.com/InstituteforDiseaseModeling/idm_standardsWrote 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/institutefordiseasemodeling/idm_standards/audit-personas)<a href="https://agentmods.dev/skills/institutefordiseasemodeling/idm_standards/audit-personas"><img src="https://agentmods.dev/badge/skills/institutefordiseasemodeling/idm_standards/audit-personas/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/institutefordiseasemodeling/idm_standards/audit-personas"><img src="https://agentmods.dev/badge/skills/institutefordiseasemodeling/idm_standards/audit-personas.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 | $0.00097 | $0.01730 |
| Opus 5 | $0.00048 | $0.00865 |
| Sonnet 5 | $0.00019 | $0.00346 |
| Haiku 4.5 | $0.00010 | $0.00173 |
Grade A, and why
audit-personas 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona documentation check
Skill version: 1.1_2026.07.21
IDM documentation targets five distinct personas, each with different technical backgrounds, needs, and decision-making contexts. Different sections of documentation serve different personas. This skill checks whether each documentation section is written appropriately for its intended audience.
Persona-to-section mapping
| Doc section | Target personas |
|---|---|
| Docs landing page / beginning of README.md | policy-maker, policy-influencer (brief acknowledgment only — see below) |
| Rest of README.md | model-user, model-extender, model-builder |
| Overview, case studies, etc. | policy-influencer, model-user |
| Tutorials | model-user, model-extender, model-builder |
| User guide | model-extender, model-builder |
| API reference (docstrings) | model-extender, model-builder |
Policy-maker and policy-influencer are the lightest-touch personas in software documentation. They are not the target audience for docs sites — at most, the landing page or top of the README should give them one or two sentences of real-world policy relevance. Do not expect or recommend a dedicated section, case studies, track-record framing, or a reframed landing page for these two personas; that content belongs in dashboards, briefs, or the idmod.org website, not the docs site.
For technical projects without direct policy relevance, the docs landing page or beginning of the readme does NOT need to be accessible to policy-makers and policy-influencers, but should still be written in plain language where possible.
Workflow
Step 1: Identify which doc sections exist
Scan the project for documentation. Look for:
README.md(split mentally into the opening/landing section vs. the rest)- A docs site or
docs/folder containing overviews, case studies, tutorials, user guides, API reference - Docstrings in Python or R source files
- Any
mkdocs.ymlor_quarto.ymlthat reveals doc structure
If the user has asked about a specific section, focus there. Otherwise, check all sections that exist.
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 · 127 lines · 97 tokens per session scan A 8cb1e3d90379
audit-personas is a skill published in the GitHub repository InstituteforDiseaseModeling/idm_standards (2 stars, last pushed 3d ago), licensed MIT. It adds 97 tokens to every session and 1,730 once invoked, about $0.0005 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 2026-08-31.
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