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 GuilhemBusset/agentic-or-workshop --skill mise-uv-install-testgit clone --depth 1 https://github.com/GuilhemBusset/agentic-or-workshopWrote 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/guilhembusset/agentic-or-workshop/mise-uv-install-test)<a href="https://agentmods.dev/skills/guilhembusset/agentic-or-workshop/mise-uv-install-test"><img src="https://agentmods.dev/badge/skills/guilhembusset/agentic-or-workshop/mise-uv-install-test/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/guilhembusset/agentic-or-workshop/mise-uv-install-test"><img src="https://agentmods.dev/badge/skills/guilhembusset/agentic-or-workshop/mise-uv-install-test.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 | $0.00317 |
| Opus 5 | $0.00024 | $0.00159 |
| Sonnet 5 | $0.00010 | $0.00063 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
mise-uv-install-test scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Mise UV Install Test
Run the repository setup and verification flow exactly in this order.
Workflow
- Activate mise in the shell:
eval "$(mise activate bash)"
- Install the pinned toolchain from
.mise.toml:
mise install
- Ensure
uvis available. Preferuvon PATH; otherwise usemise exec:
uv --version || mise install uv
- Sync project dependencies from
uv.lock:
uv sync
Fallback for restricted sandboxes:
UV_CACHE_DIR=/tmp/uv-cache uv sync
- Run tests:
uv run pytest
Fallback for restricted sandboxes:
UV_CACHE_DIR=/tmp/uv-cache uv run pytest
Scripted Path
Use scripts/install_and_test.sh to run the full workflow in one command:
bash skills/mise-uv-install-test/scripts/install_and_test.sh
Reporting
Report:
- whether toolchain install succeeded,
- whether dependency sync succeeded,
- test summary (
N passed, failures, and warnings).
If a step fails, include the failing command and the shortest actionable fix.
What ships with it
2 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.
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 · 56 lines · 49 tokens per session scan A 5df3a439b851
mise-uv-install-test is a skill published in the GitHub repository GuilhemBusset/agentic-or-workshop (2 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 317 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 2026-08-31.
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