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 elasticdotventures/_b00t_ --skill evidence-graphgit clone --depth 1 https://github.com/elasticdotventures/_b00t_Wrote 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/elasticdotventures/_b00t_/evidence-graph)<a href="https://agentmods.dev/skills/elasticdotventures/_b00t_/evidence-graph"><img src="https://agentmods.dev/badge/skills/elasticdotventures/_b00t_/evidence-graph/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/elasticdotventures/_b00t_/evidence-graph"><img src="https://agentmods.dev/badge/skills/elasticdotventures/_b00t_/evidence-graph.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 | $0.00049 | $0.01263 |
| Opus 5.5 | $0.00020 | $0.00505 |
| Sonnet 5.5 | $0.00010 | $0.00253 |
| Haiku 4.5 | $0.00005 | $0.00126 |
Grade A, and why
tax-lawyer-evidence-graph 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 1mo 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 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.
- 1mo ago First seen · 156 lines · 49 tokens per session scan A 62fbab25309c
tax-lawyer-evidence-graph is a skill published in the GitHub repository elasticdotventures/_b00t_ (15 stars, last pushed 4d ago), with no licence file. It adds 49 tokens to every session and 1,263 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 2026-09-03.
Other skills, from other repositories
bo-risk-assessment
A method for assessing operational risks in a process, project, or supplier arrangement using observed facts, possible consequences, and practical response suggestions. It keeps the likelihood of a consequence conditional unless the evidence supports more.
rem-investigate-org
The steps for investigating an organisation's page, composed after rem-investigate when the subject is under orgs/.
Document Compliance Audit
Audit a vendor agreement or contract: extract key clauses, check that required clause categories are present, flag compliance gaps and risks, and emit a structured audit summary. Use for compliance, contract review, audit, and vendor agreement requests.
security-guide
A Chinese-language checklist for securing and checking compliance of AI tools. It covers prompt protection, dangerous commands, prompt injection, sensitive-data transfers, and Chinese requirements such as PIPL and information-security standards.
gdpr-compliance
Implement GDPR data protection requirements. Configure consent management, data subject rights, and privacy by design. Use when processing EU personal data.
fedramp-compliance
Implement FedRAMP requirements for federal cloud services. Configure NIST 800-53 controls and continuous monitoring. Use when providing cloud services to US federal agencies.