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 jamesgray-ai/handsonai-plugins --skill writing-governance-recordsgit clone --depth 1 https://github.com/jamesgray-ai/handsonai-pluginsWrote 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/jamesgray-ai/handsonai-plugins/writing-governance-records)<a href="https://agentmods.dev/skills/jamesgray-ai/handsonai-plugins/writing-governance-records"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/writing-governance-records/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/jamesgray-ai/handsonai-plugins/writing-governance-records"><img src="https://agentmods.dev/badge/skills/jamesgray-ai/handsonai-plugins/writing-governance-records.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 | $0.00187 | $0.03238 |
| Opus 5.5 | $0.00075 | $0.01295 |
| Sonnet 5.5 | $0.00037 | $0.00648 |
| Haiku 4.5 | $0.00019 | $0.00324 |
Grade A, and why
writing-governance-records 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Governance Records
Write a governance record for one AI workflow: one Markdown file that shows, for each of the eight governance practices, whether the workflow has it, the evidence, and the follow-up action for each gap. A company's AI governance policy says where every workflow should stand; the record shows where this one does, and the policy's reviews read it. The file's shape is in references/record-format.md.
The eight practices, in two groups:
- Register it (what the workflow is and where it lives): 1 name and description, 2 ownership (a team, not a person), 3 process (what comes before and after it).
- Control it (how it's built, checked and changed): 4 building blocks (its skills, agents, and the systems and files it touches), 5 evaluations (tests for the skills, the agents and the whole workflow), 6 SOP (how it runs, written for people), 7 operations (when it runs and where its outputs go), 8 change management (who approves a change and how it reaches the team).
Workflow
Entry
- Find the working folder: the folder that holds
registry/andframework/. On Claude Code and Codex it's the workspace; on Claude desktop, the folder the user selected; on the web and in Microsoft 365,ai-workspace/(or the user's own working folder) in their drive, read through the connection. Read only inside it. If you can't read any files, ask the user to select or connect their working folder; until then, read and save nothing. - Find the workflow by the name the user gave: its registry entry
registry/workflows/[slug].mdand its folderframework/[slug]/. If the name could be more than one workflow, or none and the user hasn't said it's outside their files:
Ask: "Which workflow is this for?" (List the registry's workflow titles when there are a few; otherwise ask for its name.)
"Not sure" or a name that matches nothing: write the record from the user's answers, for the name they gave. A workflow with neither a registry entry nor a framework folder is fine: "add it to my AI Registry" becomes a follow-up action.
What ships with it
60 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.
- evals/evals.json 5.2 KB
- evals/files/sample-record-workspace/framework/ai-opportunity-report.md 8.5 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/build-record.md 4.0 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/context/C2-report-2026-05-22.md 455 B
- evals/files/sample-record-workspace/framework/weekly-status-report/context/C3-tone-guide.md 516 B
- evals/files/sample-record-workspace/framework/weekly-status-report/design-plan.md 9.1 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/governance-record.md 1.4 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/history/test-results-round-1.md 6.7 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/inputs/E1-typical-week.md 1.2 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/inputs/E2-blocked-heavy-week.md 930 B
- evals/files/sample-record-workspace/framework/weekly-status-report/inputs/E3-quiet-week.md 460 B
- evals/files/sample-record-workspace/framework/weekly-status-report/inputs/E4-unclear-status.md 634 B
- evals/files/sample-record-workspace/framework/weekly-status-report/inputs/E5-budget-figures-week.md 715 B
- evals/files/sample-record-workspace/framework/weekly-status-report/requirements.md 5.1 KB
- evals/files/sample-record-workspace/framework/weekly-status-report/test-results.md 6.2 KB
- evals/files/sample-record-workspace/registry/businesses/index.md 76 B
- evals/files/sample-record-workspace/registry/businesses/maya-program-office.md 690 B
- evals/files/sample-record-workspace/registry/functions/index.md 70 B
- evals/files/sample-record-workspace/registry/functions/program-management.md 449 B
- evals/files/sample-record-workspace/registry/index.md 1.3 KB
- evals/files/sample-record-workspace/registry/lines-of-business/index.md 100 B
- evals/files/sample-record-workspace/registry/lines-of-business/program-delivery-services.md 436 B
- evals/files/sample-record-workspace/registry/log.md 622 B
- evals/files/sample-record-workspace/registry/notes/index.md 104 B
- evals/files/sample-record-workspace/registry/notes/spell-out-the-format-a-report-must-keep.md 673 B
- evals/files/sample-record-workspace/registry/processes/index.md 66 B
- evals/files/sample-record-workspace/registry/processes/program-delivery.md 737 B
- evals/files/sample-record-workspace/registry/SCHEMA.md 14 KB
- evals/files/sample-record-workspace/registry/workflows/index.md 285 B
- evals/files/sample-record-workspace/registry/workflows/onboarding-checklist-drafting.md 616 B
- evals/files/sample-record-workspace/registry/workflows/program-risk-register.md 755 B
- evals/files/sample-record-workspace/registry/workflows/stakeholder-meeting-prep.md 688 B
- evals/files/sample-record-workspace/registry/workflows/weekly-status-report.md 1.3 KB
- evals/files/sample-workspace/framework/ai-opportunity-report.md 8.5 KB
- evals/files/sample-workspace/framework/weekly-status-report/build-record.md 4.0 KB
- evals/files/sample-workspace/framework/weekly-status-report/context/C2-report-2026-05-22.md 455 B
- evals/files/sample-workspace/framework/weekly-status-report/context/C3-tone-guide.md 516 B
- evals/files/sample-workspace/framework/weekly-status-report/design-plan.md 9.1 KB
- evals/files/sample-workspace/framework/weekly-status-report/history/test-results-round-1.md 6.7 KB
- evals/files/sample-workspace/framework/weekly-status-report/inputs/E1-typical-week.md 1.2 KB
- evals/files/sample-workspace/framework/weekly-status-report/inputs/E2-blocked-heavy-week.md 930 B
- evals/files/sample-workspace/framework/weekly-status-report/inputs/E3-quiet-week.md 460 B
- evals/files/sample-workspace/framework/weekly-status-report/inputs/E4-unclear-status.md 634 B
- evals/files/sample-workspace/framework/weekly-status-report/inputs/E5-budget-figures-week.md 715 B
- evals/files/sample-workspace/framework/weekly-status-report/requirements.md 5.1 KB
- evals/files/sample-workspace/framework/weekly-status-report/test-results.md 6.2 KB
- evals/files/sample-workspace/registry/businesses/index.md 76 B
- evals/files/sample-workspace/registry/businesses/maya-program-office.md 690 B
- evals/files/sample-workspace/registry/functions/index.md 70 B
- evals/files/sample-workspace/registry/functions/program-management.md 449 B
- evals/files/sample-workspace/registry/index.md 1.3 KB
- evals/files/sample-workspace/registry/lines-of-business/index.md 100 B
- evals/files/sample-workspace/registry/lines-of-business/program-delivery-services.md 436 B
- evals/files/sample-workspace/registry/log.md 622 B
- evals/files/sample-workspace/registry/notes/index.md 104 B
- evals/files/sample-workspace/registry/notes/spell-out-the-format-a-report-must-keep.md 673 B
- evals/files/sample-workspace/registry/processes/index.md 66 B
- evals/files/sample-workspace/registry/processes/program-delivery.md 737 B
- evals/files/sample-workspace/registry/SCHEMA.md 14 KB
- evals/files/sample-workspace/registry/workflows/index.md 285 B
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 · 129 lines · 187 tokens per session scan A 5de86a27d0e6
writing-governance-records is a skill published in the GitHub repository jamesgray-ai/handsonai-plugins (8 stars, last pushed yesterday), licensed MIT. It adds 187 tokens to every session and 3,238 once invoked, about $0.0007 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 2026-11-06.
writing-governance-records compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writing-governance-recordsjamesgray-ai/handsonai-plugins | Skill | 8 | yesterday | MIT | A | 187 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |