Borrowing it
Nothing to install: this file belongs to ThalesGroup/agilab. 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/ThalesGroup/agilab/main/.claude/skills/agilab-huggingface-spaces/SKILL.mdgit clone --depth 1 https://github.com/ThalesGroup/agilabWrote 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/thalesgroup/agilab/agilab-huggingface-spaces)<a href="https://agentmods.dev/skills/thalesgroup/agilab/agilab-huggingface-spaces"><img src="https://agentmods.dev/badge/skills/thalesgroup/agilab/agilab-huggingface-spaces/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/thalesgroup/agilab/agilab-huggingface-spaces"><img src="https://agentmods.dev/badge/skills/thalesgroup/agilab/agilab-huggingface-spaces.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 | $0.00042 | $0.04676 |
| Opus 5 | $0.00021 | $0.02338 |
| Sonnet 5 | $0.00008 | $0.00935 |
| Haiku 4.5 | $0.00004 | $0.00468 |
Grade A, and why
agilab-huggingface-spaces scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -I -L --max-time 20 "https://${space_owner}-agilab.hf.space/" Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
info = json.loads(subprocess.check_output( The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 4d ago Changed e9a47ab313ae
- 12d ago First seen · 467 lines · 42 tokens per session scan A dab7d873de9f
agilab-huggingface-spaces is a skill published in the GitHub repository ThalesGroup/agilab (21 stars, last pushed today), with no licence file. It adds 42 tokens to every session and 4,676 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
ngs-pipeline-management
Next-generation sequencing pipeline management with Snakemake and Nextflow. Use for building, running, and debugging reproducible NGS workflows for RNA-seq, WGS, ChIP-seq, ATAC-seq, and amplicon sequencing. Covers pipeline design patterns, HPC/cloud execution, containerization, and workflow optimization.
openshell-cli
Guide agents through using the OpenShell CLI (openshell) for sandbox management, gateway registration, provider configuration and refresh, policy iteration, settings, service exposure, BYOC workflows, and attached-provider inference. Covers basic through advanced multi-step workflows. Trigger keywords - openshell…
langbot-deploy
Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…
compute-env-setup
Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…
atmos-helmfile
Helmfile orchestration: sync/apply/destroy/diff, Kubernetes deployments, varfile generation, EKS integration, source management.
atmos-devcontainer
Devcontainer orchestration: start/stop/attach/shell/exec/rebuild, instance management, config handling, VS Code integration.