OpenEnv is a framework for creating, deploying, and using isolated execution environments through simple APIs modeled on Gymnasium. It is intended for researchers and developers training agents with reinforcement learning, as well as creators who need secure environments that can be deployed and accessed through familiar protocols. The catalogue add-ons provide agent integrations and workflows for using OpenEnv.
Borrowing it
Nothing to install: this file belongs to huggingface/OpenEnv. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/huggingface/OpenEnv/main/.claude/skills/watch-pr/SKILL.mdgit clone --depth 1 https://github.com/huggingface/OpenEnvWrote 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/huggingface/openenv/watch-pr)<a href="https://agentmods.dev/skills/huggingface/openenv/watch-pr"><img src="https://agentmods.dev/badge/skills/huggingface/openenv/watch-pr/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/huggingface/openenv/watch-pr"><img src="https://agentmods.dev/badge/skills/huggingface/openenv/watch-pr.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 | $0.00048 | $0.02354 |
| Opus 5.5 | $0.00019 | $0.00942 |
| Sonnet 5.5 | $0.00010 | $0.00471 |
| Haiku 4.5 | $0.00005 | $0.00235 |
Grade A, and why
watch-pr 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 1mo 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 — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/watch-pr
Monitor a submitted PR until CI passes and code reviews are addressed.
EXECUTE THESE STEPS NOW
When this skill is invoked, you MUST execute these steps immediately. Do NOT just describe what will happen — actually do it.
Step 0: Resolve PR Number and Repo
Extract the PR number from $ARGUMENTS. If no argument was provided, detect from the current branch:
gh pr view --json number -q '.number'
If no PR is found, stop with: "No PR found for current branch. Create one with gh pr create or pass a PR number: /watch-pr 123"
Also resolve the repo identifier:
gh repo view --json nameWithOwner -q '.nameWithOwner'
Store as PR_NUMBER and REPO. Initialize counters:
CI_FIX_COUNT = 0(max 5)REVIEW_FIX_COUNT = 0(max 3)
Report to the user:
## Watching PR #<PR_NUMBER>
Monitoring CI and reviews for https://github.com/<REPO>/pull/<PR_NUMBER>
Step 1: WAITING_CI — Poll CI Checks
Run the CI polling script with a 30-minute timeout:
bash .claude/hooks/ci-wait.sh <PR_NUMBER> 1800
Important: Set the Bash tool timeout to 600000ms (10 minutes). If the script exceeds
this, re-invoke it with the remaining timeout: bash .claude/hooks/ci-wait.sh <PR_NUMBER> <REMAINING_SECONDS>.
Evaluate the exit code:
- Exit 0 (all checks passed): Go to Step 3 (WAITING_REVIEW).
- Exit 1 (checks failed): Go to Step 2 (CI_FAILED).
- Exit 2 (timeout): Report to user: "CI checks did not complete within 30 minutes. Check manually." Stop.
- Exit 3 (error): Report error and stop.
Step 2: CI_FAILED — Fix and Retry
Increment CI_FIX_COUNT. If CI_FIX_COUNT > 5, stop with:
CI has failed 5 times. Manual intervention required.
PR: https://github.com/<REPO>/pull/<PR_NUMBER>
2a. Identify failed checks and get logs:
# Get the head SHA for this PR
HEAD_SHA=$(gh pr view <PR_NUMBER> --json headRefOid -q '.headRefOid')
# List failed workflow runs for this commit
gh run list --commit "$HEAD_SHA" --json databaseId,name,conclusion --jq '.[] | select(.conclusion == "failure")'
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.
- 1mo ago First seen · 307 lines · 48 tokens per session scan A c69ab2c9eb25
watch-pr is a skill published in the GitHub repository huggingface/OpenEnv (2,739 stars, last pushed 8d ago), licensed BSD-3-Clause. It adds 48 tokens to every session and 2,354 once invoked, about $0.0002 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 2026-08-31.
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