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 CHENyiru3/AI-Skills-Collections --skill scientific-coding-governancegit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/scientific-coding-governance)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/scientific-coding-governance"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/scientific-coding-governance/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/chenyiru3/ai-skills-collections/scientific-coding-governance"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/scientific-coding-governance.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 | $0.00050 | $0.00289 |
| Opus 5.5 | $0.00020 | $0.00116 |
| Sonnet 5.5 | $0.00010 | $0.00058 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
scientific-coding-governance 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 yesterday.
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
Scientific Coding Governance
The researcher controls scientific intent; the agent may choose reversible, method-preserving implementation within the requested scope. Reuse established authorization and completed methodological configurations. Ask only when a missing or changed scientific choice affects the next action.
Infer the relevant analysis contract from the request: inputs/population, comparison, method/settings, metric/threshold, and output. State material assumptions briefly in the conversation; do not create a separate contract system.
Do not silently change that contract after seeing results. Preserve raw data, meaningful outputs, sample identity, and evaluation boundaries. For result-impacting debugging, reruns, or interpretation, read the corresponding section of governance.md.
Choose verification that could change acceptance: syntax/import checks, relevant existing tests, and semantic checks tied to the approved analysis. An explicitly requested benchmark remains authorized; unrelated infrastructure does not become mandatory because this skill was selected.
Report what changed, what ran, produced outputs, and remaining limitations. Finish the agreed task before proposing additional experiments or cleanup.
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.
- yesterday First seen · 31 lines · 50 tokens per session scan A 403305923b0e
scientific-coding-governance is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (2 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 289 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-13.
scientific-coding-governance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| scientific-coding-governanceCHENyiru3/AI-Skills-Collections | Skill | 2 | 3d ago | MIT | A | 50 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 36k | yesterday | Apache-2.0 | A | 123 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 57k | 5d ago | MIT | A | 44 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 57k | 5d ago | MIT | A | 83 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 57k | 5d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 34k | today | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |