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 mila-iqia/skills --skill mila-sarcgit clone --depth 1 https://github.com/mila-iqia/skillsWrote 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/mila-iqia/skills/mila-sarc)<a href="https://agentmods.dev/skills/mila-iqia/skills/mila-sarc"><img src="https://agentmods.dev/badge/skills/mila-iqia/skills/mila-sarc/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/mila-iqia/skills/mila-sarc"><img src="https://agentmods.dev/badge/skills/mila-iqia/skills/mila-sarc.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 | $0.00080 | $0.05735 |
| Opus 5.5 | $0.00032 | $0.02294 |
| Sonnet 5.5 | $0.00016 | $0.01147 |
| Haiku 4.5 | $0.00008 | $0.00573 |
Grade A, and why
mila-sarc 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 2mo 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.
below is plain HTTP — curl, `requests`, or any client will do; there is nothing How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fetching data from the SARC API
SARC serves a JSON API over HTTPS at https://sarc.mila.quebec. Everything
below is plain HTTP — curl, requests, or any client will do; there is nothing
to install.
Two families of endpoints matter:
| Prefix | What it gives you | Response |
|---|---|---|
/v0/… |
Raw records: slurm jobs, job series (jobs + computed usage/waste/RGU columns), users, clusters, GPU→RGU table, health checks | JSON |
/dash/metrics/… |
Pre-aggregated dashboard data: job counts, RGU usage, metric distributions, per-user/per-cluster rollups | JSON |
https://sarc.mila.quebec/dash/metrics itself is the human-facing dashboard
(HTML) — worth opening in a browser to see what the JSON endpoints feed.
The parameters below are enough to query the API directly — go ahead and call it.
If a call fails in a way this document doesn't explain, fetch
https://sarc.mila.quebec/openapi.json (public, no token; interactive at
/docs) — it's the authoritative description of what the server accepts.
Authentication
Every endpoint except /v0/health/list, /docs and /openapi.json requires a
bearer token:
Authorization: Bearer $SARC_TOKEN
Three environment variables carry everything you need. Check them first — an
unset SARC_TOKEN is the single most common reason requests come back
401 {"detail":"Authentication required"}:
test -n "$SARC_TOKEN" && echo "token: set" || echo "token: MISSING"
echo "user: ${SARC_USERNAME:-unset} admin: ${SARC_IS_ADMIN:-0}"
If SARC_TOKEN is empty, stop and give the user the snippet below to paste into
their ~/.bashrc (~/.zshrc works the same). Fill SARC_USERNAME in with your
best guess from the conversation if you have one (usually [email protected])
— otherwise leave the placeholder. Don't try to work around a missing token.
# --- SARC ---------------------------------------------------------------
# API token. Open https://sarc.mila.quebec/token in a browser, sign in with
# your Mila Google account, and copy the "refresh_token" value from the JSON
# page you land on. It is long-lived: treat it like a password, and never
# commit it.
export SARC_TOKEN='paste-the-refresh_token-value-here'
# Your @mila.quebec address — how SARC identifies you.
export SARC_USERNAME='[email protected]'
# 1 if your SARC account has the admin capability, 0 otherwise.
# Leave it at 0 if you don't know; you'd know if you had it.
export SARC_IS_ADMIN=0
# ------------------------------------------------------------------------
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.
- 2mo ago First seen · 409 lines · 80 tokens per session scan A c2817ca37b91
mila-sarc is a skill published in the GitHub repository mila-iqia/skills (7 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 5,735 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-05.
mila-sarc compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mila-sarcmila-iqia/skills | Skill | 7 | 2d ago | MIT | A | 80 | Claude Code |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |