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 willwearing/graspful --skill auditgit clone --depth 1 https://github.com/willwearing/graspfulWrote 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/willwearing/graspful/audit)<a href="https://agentmods.dev/skills/willwearing/graspful/audit"><img src="https://agentmods.dev/badge/skills/willwearing/graspful/audit/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/willwearing/graspful/audit"><img src="https://agentmods.dev/badge/skills/willwearing/graspful/audit.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 | $0.00014 | $0.00952 |
| Opus 5 | $0.00007 | $0.00476 |
| Sonnet 5 | $0.00003 | $0.00190 |
| Haiku 4.5 | $0.00001 | $0.00095 |
Grade A, and why
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 4d 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
8 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.
- 4d ago First seen · 76 lines · 14 tokens per session scan A 4a99d65fced2
audit is a skill published in the GitHub repository willwearing/graspful (2 stars, last pushed 2d ago), with no licence file. It adds 14 tokens to every session and 952 once invoked, about $0.0001 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 2026-09-06.
Other skills, from other repositories
agent-activity-audit
Audit recent agent transcripts (Claude Code and Codex) to learn how a tool, system, or skill is actually being used in the wild. Surfaces failure modes, friction, success patterns, and concrete improvement candidates from real session data. Use this when you want to improve a developer-facing system that agents…
sibyl
Persistent memory and task coordination for this project. Invoke for any prompt about past work, project state, in-progress tasks, prior decisions, gotchas, or capturing a non-obvious learning. Also covers semantic search across project knowledge and external docs.
graph-designer
Design YAML extraction templates for graph types (graph, hypergraph, temporalgraph, spatialgraph). Use when user says: "design graph", "create knowledge graph", "extract relationships", "temporal data", "spatial data". Trigger: User wants to extract entity relationships, multi-party events, or time/location-based…
template-optimizer
Optimize YAML templates for Hyper-Extract. Use when: "optimize template", "fix YAML issues", "improve quality", "lint template" Trigger: After creating templates or during review Skip: Creating new templates (use brainstorm + designer instead).
multilingual
Convert Hyper-Extract YAML templates to multi-language support. Use when user says: "add translation", "multilingual", "convert language", "support Chinese and English". Trigger: User wants to add Chinese/English/Japanese translation to their template. Skip: User wants to design a new template (use record-designer or…
record-designer
Design YAML extraction templates for record types (model, list, set). Use when user says: "design model template", "create item list extraction", "extract items", "deduplicate entities". Trigger: User wants to extract structured records, lists, or deduplicated entities. Skip: User mentions graph, relations, or…