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/hf-space-recovery/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/hf-space-recovery)<a href="https://agentmods.dev/skills/huggingface/openenv/hf-space-recovery"><img src="https://agentmods.dev/badge/skills/huggingface/openenv/hf-space-recovery/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/hf-space-recovery"><img src="https://agentmods.dev/badge/skills/huggingface/openenv/hf-space-recovery.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 | $0.00081 | $0.00934 |
| Opus 5 | $0.00041 | $0.00467 |
| Sonnet 5 | $0.00016 | $0.00187 |
| Haiku 4.5 | $0.00008 | $0.00093 |
Grade A, and why
hf-space-recovery scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS -m 10 https://huggingface.co/api/spaces/openenv/<space-id>/events | sed -n '1,140p' How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HF Space Recovery
Use this skill to recover OpenEnv Hub deployments quickly with minimal blast radius.
Execute This Workflow
1) Confirm release tuple
Use a single release tuple across all commands:
- Namespace:
openenv - Version:
vX.Y.Z - Space suffix:
-vX-Y-Z
Default to a version suffix and treat unsuffixed Spaces as legacy.
2) Snapshot runtime status
Collect all versioned spaces and isolate non-running ones:
hf spaces ls --author openenv --limit 500 --expand=runtime \
| jq -r '.[] | select(.id|test("-v[0-9]+-[0-9]+-[0-9]+$")) \
| [.id, .runtime.stage, (.runtime.raw.errorMessage // "")] | @tsv' \
| sort
Treat RUNNING and SLEEPING as healthy. Triage everything else.
3) Classify and extract signal
RUNTIME_ERROR: read traceback from.runtime.raw.errorMessage.BUILD_ERROR: read build error text from runtime info, then patch Dockerfile/deps.APP_STARTINGlonger than 10 minutes: inspect event stream and metrics before changing code.
hf spaces info openenv/<space-id> --expand=runtime
curl -sS -m 10 https://huggingface.co/api/spaces/openenv/<space-id>/events | sed -n '1,140p'
curl -sS -m 10 -i https://huggingface.co/api/spaces/openenv/<space-id>/metrics | sed -n '1,120p'
Read references/troubleshooting.md for symptom-to-fix mappings.
4) Apply minimal fix and targeted redeploy
Prefer targeted redeploys over full-fleet pushes:
scripts/prepare_hf_deployment.sh \
--hf-namespace openenv \
--env <env_name> \
--skip-collection
Use openenv CLI as a supplement, not a replacement, for release triage:
- Validate env layout quickly (
uv run openenv validate ...) when applicable. - Keep release deploys on
scripts/prepare_hf_deployment.shto preserve suffix/pinning behavior.
5) Unstick runtime when code is already good
If Space remains in APP_STARTING with no actionable error:
uv run --with huggingface_hub python - <<'PY'
from huggingface_hub import HfApi
api = HfApi()
api.restart_space("openenv/<space-id>", factory_reboot=True)
PY
What ships with it
1 file 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.
- 8d ago First seen · 112 lines · 81 tokens per session scan A 15df32e4d077
hf-space-recovery is a skill published in the GitHub repository huggingface/OpenEnv (2,560 stars, last pushed today), licensed BSD-3-Clause. It adds 81 tokens to every session and 934 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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