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 JetXu-LLM/DocMason --skill public-sample-workspacegit clone --depth 1 https://github.com/JetXu-LLM/DocMasonWrote 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/jetxu-llm/docmason/public-sample-workspace)<a href="https://agentmods.dev/skills/jetxu-llm/docmason/public-sample-workspace"><img src="https://agentmods.dev/badge/skills/jetxu-llm/docmason/public-sample-workspace/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/jetxu-llm/docmason/public-sample-workspace"><img src="https://agentmods.dev/badge/skills/jetxu-llm/docmason/public-sample-workspace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.00533 |
| Opus 5 | $0.00015 | $0.00267 |
| Sonnet 5 | $0.00006 | $0.00107 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
public-sample-workspace 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 10d 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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Public Sample Workspace
Use this skill only when the user explicitly wants a local demo workspace built from the tracked public sample corpus in the canonical source repository.
This is contributor-oriented setup help. It should not replace the clean or demo release-bundle onboarding paths.
Activation
This optional skill is intended to be exposed only when the canonical source repo contains the
tracked ICO + GCS sample preset.
Required Capabilities
- local file access
- shell or command execution
- ability to inspect whether
original_doc/already contains user files
If the current environment cannot inspect or modify the local workspace, stop and explain the blocker.
Procedure
- Confirm that the current repository contains the tracked public sample preset.
- Inspect
original_doc/for visible user files before copying anything. - If
original_doc/is non-empty and the user did not explicitly ask to replace it:- stop
- explain that live corpus files already exist
- ask for explicit confirmation before overwriting them
- If
original_doc/is empty, or the user explicitly asked to replace it, run:python3 scripts/use-sample-corpus.py --preset ico-gcs
- Add
--forceonly when the user explicitly asked to replace existing live corpus files. - Add
--prepareonly when the user explicitly asked to bootstrap the workspace immediately after materialization. - Add
--synconly when the user explicitly asked to build or refresh the knowledge base immediately after materialization. - After success, summarize that the tracked public sample corpus was copied into live
original_doc/and note whether bootstrap or sync also ran.
Escalation Rules
- Do not overwrite a non-empty
original_doc/silently. - Do not run bootstrap or sync as a side effect unless the user asked for it.
- If the tracked preset is missing, stop and report that this checkout does not expose the public sample workspace helper.
Completion Signal
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.
- 10d ago First seen · 57 lines · 31 tokens per session scan A 9aa397607dac
public-sample-workspace is a skill published in the GitHub repository JetXu-LLM/DocMason (135 stars, last pushed 6d ago), licensed Apache-2.0. It adds 31 tokens to every session and 533 once invoked, about $0.0002 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 2026-08-30.
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