Borrowing it
Nothing to install: this file belongs to steel-dev/leaderboard. 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/steel-dev/leaderboard/main/.claude/skills/benchmark-discovery/SKILL.mdgit clone --depth 1 https://github.com/steel-dev/leaderboardWrote 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/steel-dev/leaderboard/benchmark-discovery)<a href="https://agentmods.dev/skills/steel-dev/leaderboard/benchmark-discovery"><img src="https://agentmods.dev/badge/skills/steel-dev/leaderboard/benchmark-discovery/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/steel-dev/leaderboard/benchmark-discovery"><img src="https://agentmods.dev/badge/skills/steel-dev/leaderboard/benchmark-discovery.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 | $0.00235 | $0.04456 |
| Opus 5.5 | $0.00094 | $0.01782 |
| Sonnet 5.5 | $0.00047 | $0.00891 |
| Haiku 4.5 | $0.00023 | $0.00446 |
Grade A, and why
benchmark-discovery 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 24d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark discovery for the Steel leaderboard
Surface candidate benchmark results for maintainer review. The skill drives the deterministic arxiv discovery script in this repo, applies project-specific filtering rules, and renders a standardised markdown summary that a maintainer can scan and selectively add to src/data/<slug>.json.
This skill never modifies leaderboard data on its own. The output is review material; merging is always a human step. The discovery issue exists so candidates accumulate in one inbox rather than getting lost across notebooks and tabs.
Automated weekly sweep (Atlas research → deductive judge → deterministic PR)
A scheduled GitHub Actions pipeline runs this discovery loop weekly so a maintainer doesn't have to. It is Propose-Dispose: the LLM stages only propose — they have no tools and never touch git — and a deterministic apply step validates, re-ranks, and opens the PR a human merges. The workflows live in .github/workflows/:
discovery-scheduler.yml— cron (Mondays ~07:27 UTC) that dispatches the sweep viagh workflow runwithsince_days=9(weekly + 2-day margin). Kill-switch: set repo variableENABLE_DISCOVERY=falseto pause without editing YAML.discover-results.yml— the sweep itself, four jobs:arxiv-baseline— free, deterministicpnpm run discover→.discovery/run.json(§1 below).discover— read-only.pnpm run discover:research(the Atlas driver atsrc/scripts/discover-research.ts: Exa search + Steel browser fetch, z.aiglm-5.2) produces cited, structured candidates in.discovery/atlas-candidates.json(plusatlas-report.md,atlas-trace.jsonl,atlas-errors.json). Thenpnpm run discover:judge— a deductivegenerateObjectpass atsrc/scripts/discover-judge.ts, with no tools and no fetches — reads the candidates + the FULL current leaderboard rows +CONTRIBUTING.mdand emits one declarative proposal per benchmark to.discovery/proposals/<dataKey>-<week>.json(adds + dismissals, each with a reason and a category).apply— the ONLY job withcontents:write+pull-requests:write.pnpm run discover:apply --write(deterministic TypeScript atsrc/scripts/discover-apply.ts, no LLM) hard-gates each add (src/data/schema.json, finite score, dedup, freshness), does a soft SSRF-guarded evidence re-fetch, stably re-ranks (existing rows keep their order; new rows slot in by score), writessrc/data/<dataKey>.json+README.md, runsupdate-readme/lint/build, and opens one PR per leaderboard with per-row reasoning for every add AND dismissal.notify— on success posts PR links (or "no fresh results") to the rolling issue; on any failure — including a silent gate/build failure where survivors were proposed but no PR opened — it opens adiscovery-alertissue. The alert label is deliberately separate from the rolling tracker'sdiscoverylabel so the tracker's find-or-create never misroutes a comment into an alert.
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.
- 24d ago Changed · +9 lines 13239f085677
- 1mo ago Changed · +21 lines · -11 tokens per session dc2bcae529af
- 2mo ago First seen · 170 lines · 246 tokens per session scan A 45d4f7155ac7
benchmark-discovery is a skill published in the GitHub repository steel-dev/leaderboard (49 stars, last pushed 22d ago), licensed MIT. It adds 235 tokens to every session and 4,456 once invoked, about $0.0009 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 2026-08-30.
benchmark-discovery compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| benchmark-discoverysteel-dev/leaderboard | Skill | 49 | 22d ago | MIT | A | 235 | Claude Code |
| drug-discoveryNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 19 | Claude Code, Codex |
| sglang-diffusion-cache-ditsgl-project/sglang | Skill | 39k | yesterday | Apache-2.0 | A | 161 | Claude Code |
| open-sourcebrowser-use/browser-use | Skill | 120k | yesterday | MIT | A | 137 | Claude Code |
| batch-processing-clinical-textmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 161 | Claude Code |
| coding-hcc-risk-adjustmentmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 200 | Claude Code |
| detecting-pv-signalsmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 218 | Claude Code |