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 whit3rabbit/clean-room-skill --skill attendedgit clone --depth 1 https://github.com/whit3rabbit/clean-room-skillWrote 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/whit3rabbit/clean-room-skill/attended)<a href="https://agentmods.dev/skills/whit3rabbit/clean-room-skill/attended"><img src="https://agentmods.dev/badge/skills/whit3rabbit/clean-room-skill/attended/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/whit3rabbit/clean-room-skill/attended"><img src="https://agentmods.dev/badge/skills/whit3rabbit/clean-room-skill/attended.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 | $0.00029 | $0.01191 |
| Opus 5 | $0.00015 | $0.00596 |
| Sonnet 5 | $0.00006 | $0.00238 |
| Haiku 4.5 | $0.00003 | $0.00119 |
Grade A, and why
attended 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.
How it starts
The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Room Attended
Start the clean-room startup wizard with controller_policy.mode fixed to attended.
In Pi, this entry point is invoked as /skill:attended.
Use the canonical clean-room skill workflow and references in this plugin. Preserve the same clean-room boundary, role separation, artifact schemas, leakage rules, implementation-root rules, and hook expectations.
Before asking setup or preflight questions, use the canonical clean-room "Run State Discovery Before Wizard" rules. Resolve explicit artifact paths first, then current-repo .clean-room/local-state.json, then configured clean-room roots, then bounded ~/Documents/CleanRoom/task-* (legacy) and ~/Documents/CleanRoom/*/tasks/task-* (project layout) candidates. Treat target-repo .clean-room/tasks/ as noncanonical unless explicitly provided or named by the local pointer. If a valid task-manifest.json exists, route to resume-cr. If a task-manifest.json exists but is invalid or legacy-shaped, stop and report its exact path and validation errors. If a valid canonical preflight-goal.json exists without a manifest, continue at source/destination discovery and manifest creation. If a preflight artifact exists but is invalid, stop with schema errors instead of restarting preflight. If a project is found with only completed tasks and the user wants more work, create the next task in that project by default. If multiple candidates are found without an explicit path, list them and stop for selection.
Load or create preflight-goal.json first. Attended mode may continue with unresolved questions only when they are recorded as open_questions; blocking questions become pause gates before affected work starts.
Gather only required setup facts:
- Authorization statement, requester, allowed actions, prohibited actions, and evidence handling.
- Artifact base root, defaulting the task root to
~/Documents/CleanRoom/<project>/tasks/<task-id>/. If the user does not provide an explicitly approved neutral task ID, generate one astask-plus 8 lowercase hex characters. Do not derive task IDs or output directory names from source folder names. - Project grouping, following the canonical
clean-roomproject layout rules:<base>/<project>/tasks/<task-id>/with one shared<base>/<project>/implementation/root, an existing project from.clean-room/local-state.jsonwhen available, otherwise a neutral project name (proj-plus 8 lowercase hex unless the user supplies an approved neutral name, matching[a-z0-9][a-z0-9-]{0,63}, never source-derived), and at most one active task per project. Use legacy flat<base>/<task-id>/roots only when the user explicitly chooses single-task compatibility. - Source roots, contaminated artifact root, clean artifact root, clean implementation root, quarantine root, and optional public or destination reference roots.
- Target stack, destination constraints, dependency/license policy, exactness policy, feature policy, code hygiene policy, and output policy from
preflight-goal.json. - Target schema profile:
openspec-delta,gsd-planning-package,speckit-feature-folder, orkiro-spec-folder. - Default model plus optional clean, contaminated, or per-role overrides.
Before indexing or artifact generation, confirm that source roots, contaminated artifact roots, clean artifact roots, clean implementation roots, approved public reference roots, and schema directory are separate paths, and that clean/contaminated/implementation root names are not source-derived. Stop if authorization is unclear, if clean and contaminated roots overlap, if implementation roots overlap another trust-domain root, or if root paths contain source root basenames or meaningful non-generic source-name tokens. Clean roles must receive clean-run-context.json and, when enabled, role-session-brief.json; they must not receive the full task-manifest.json. Agent 0 must influence clean roles only through durable sanitized artifacts.
Record preflight_goal_ref, preflight_goal_sha256, required handoff_sequence, and controller_policy.mode as attended. Pause for human review at preflight open questions, scope gate, clean handoff, terminal implementation or polish deltas, blocked units, and final coverage. Include stop conditions for authorization-missing, scope-change, contamination-suspected, schema-validation-failed, leakage-scan-failed, unit-blocked, implementation-complete, and coverage-complete; attended mode does not add an iteration-limit stop unless the user explicitly sets one.
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 · 35 lines · 29 tokens per session scan A 602305d39b6b
attended is a skill published in the GitHub repository whit3rabbit/clean-room-skill (10 stars, last pushed 6d ago), licensed MIT. It adds 29 tokens to every session and 1,191 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 2026-08-31.
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