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 bromso/metapowers --skill training-plangit clone --depth 1 https://github.com/bromso/metapowersWrote 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/bromso/metapowers/training-plan)<a href="https://agentmods.dev/skills/bromso/metapowers/training-plan"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/training-plan/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/bromso/metapowers/training-plan"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/training-plan.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 | $0.00067 | $0.01393 |
| Opus 5.5 | $0.00027 | $0.00557 |
| Sonnet 5.5 | $0.00013 | $0.00279 |
| Haiku 4.5 | $0.00007 | $0.00139 |
Grade A, and why
training-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Training Plan
Design a legal compliance training program for "$ARGUMENTS". Identify training needs by role, design training modules, set cadence and tracking, and plan delivery methods.
Note: AI-generated legal content does not constitute legal advice. Consult a qualified attorney.
Arguments. $ARGUMENTS may contain the project name and optional flags. Take the first token as <project> and treat --skip-checks as a flag; never include flags in file paths. All paths below use <project>. If --skip-checks is present, skip the prerequisite check and, before writing any artifact, append one line to .metapowers/legal/<project>/skip-log.md: - <ISO timestamp> — <skill name> skipped prerequisite check for <artifact file> — reason: <reason or "none given">.
Prerequisites
Check that .metapowers/legal/<project>/00-assess.md exists. If it does not exist, stop and tell the user:
"Run an Assess skill first (e.g.
/legal:risk-assessment <project>) to generate the prerequisite assessment artifact."
Process
-
Read inputs:
- Read
.metapowers/legal/<project>/00-assess.mdfor risk context, applicable regulations, and organizational profile - Review any existing compliance artifacts in
.metapowers/legal/<project>/
- Read
-
Identify training needs by role:
- All employees:
- Data protection basics (handling personal data, recognizing data breaches)
- Confidentiality obligations (trade secrets, proprietary information)
- Code of conduct and ethics
- Reporting procedures (whistleblower channels, incident reporting)
- Engineering:
- Open-source license compliance (permissive vs. copyleft, attribution requirements)
- Security practices (secure coding, vulnerability handling, access controls)
- Data handling in development (test data, production data separation)
- IP considerations (invention assignments, prior art awareness)
- Sales:
- Contract terms they can and cannot negotiate
- NDA procedures and standard terms
- Anti-bribery and anti-corruption basics
- Competition law essentials (pricing discussions, market allocation)
- HR:
- Employment law basics (hiring, termination, documentation)
- Discrimination and harassment prevention and response
- Leave and accommodation requirements
- Employee data privacy
- Procurement:
- Vendor assessment and due diligence requirements
- Contract review fundamentals
- Conflict of interest policies
- Supply chain compliance obligations
- All employees:
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.
- 3d ago First seen · 118 lines · 67 tokens per session scan A 583f8a74806f
training-plan is a skill published in the GitHub repository bromso/metapowers (2 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 1,393 once invoked, about $0.0003 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 2026-10-21.
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