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 OpenLAIR/dr-claw --skill inno-grant-proposalgit clone --depth 1 https://github.com/OpenLAIR/dr-clawWrote 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/openlair/dr-claw/inno-grant-proposal)<a href="https://agentmods.dev/skills/openlair/dr-claw/inno-grant-proposal"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/inno-grant-proposal/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/openlair/dr-claw/inno-grant-proposal"><img src="https://agentmods.dev/badge/skills/openlair/dr-claw/inno-grant-proposal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 447 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Excessive Agency · line 139 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00158 | $0.09011 |
| Opus 5 | $0.00079 | $0.04505 |
| Sonnet 5 | $0.00032 | $0.01802 |
| Haiku 4.5 | $0.00016 | $0.00901 |
Grade A, and why
inno-grant-proposal 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 9d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
28 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.
- agents/openai.yaml 231 B
- config.yaml 3.6 KB
- CREDITS.md 4.5 KB
- evals/evals.json 3.8 KB
- references/cn/nsfc_guide.md 33 KB
- references/common/ai_flavor_checklist.md 2.1 KB
- references/common/common_mistakes.md 27 KB
- references/common/post_submission.md 735 B
- references/common/resubmission.md 20 KB
- references/common/reviewer_personas.md 18 KB
- references/rubrics/nih_rubric.json 14 KB
- references/rubrics/nsf_rubric.json 11 KB
- references/rubrics/nsfc_rubric.json 15 KB
- references/us/darpa_guide.md 14 KB
- references/us/doe_guide.md 12 KB
- references/us/nasa_guide.md 14 KB
- references/us/nih_guide.md 26 KB
- references/us/nsf_guide.md 23 KB
- scripts/compliance_check.py 17 KB runs code
- scripts/validate_citations.py 15 KB runs code
- scripts/validate_length.py 12 KB runs code
- templates/cn/nsfc_abstract_5sentence.md 4.3 KB
- templates/cn/nsfc_justification.md 5.2 KB
- templates/cn/nsfc_research_content.md 8.9 KB
- templates/cn/nsfc_research_foundation.md 4.2 KB
- templates/us/budget_justification.md 8.0 KB
- templates/us/nih_specific_aims.md 6.3 KB
- templates/us/nsf_project_summary.md 2.1 KB
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.
- 9d ago First seen · 937 lines · 158 tokens per session scan A 8d414f3c080e
inno-grant-proposal is a skill published in the GitHub repository OpenLAIR/dr-claw (1,093 stars, last pushed yesterday), with no licence file. It adds 158 tokens to every session and 9,011 once invoked, about $0.0008 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 2026-09-03.
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