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 ma-compbio-lab/SkillFoundry --skill benchmark-table-mining-startergit clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundryWrote 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/ma-compbio-lab/skillfoundry/benchmark-table-mining-starter)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/benchmark-table-mining-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/benchmark-table-mining-starter/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/ma-compbio-lab/skillfoundry/benchmark-table-mining-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/benchmark-table-mining-starter.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 | $0.00026 | $0.00234 |
| Opus 5 | $0.00013 | $0.00117 |
| Sonnet 5 | $0.00005 | $0.00047 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
benchmark-table-mining-starter 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 6d 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.
What it actually says
Benchmark Table Mining Starter
Use this starter on locally prepared markdown notes that contain one or more benchmark tables.
The wrapper:
- scans all markdown table blocks in the note
- selects the most leaderboard-like table instead of assuming the first table is the benchmark
- preserves canonical leaderboard fields such as
task,dataset,metric,model, andscorewhen they exist
python3 skills/scientific-knowledge/benchmark-table-mining-starter/scripts/run_benchmark_table_mining.py \
--input skills/scientific-knowledge/benchmark-table-mining-starter/examples/benchmark_note.md
For a broader Papers-with-Code-style note that includes an earlier non-leaderboard table, use:
python3 skills/scientific-knowledge/benchmark-table-mining-starter/scripts/run_benchmark_table_mining.py \
--input skills/scientific-knowledge/benchmark-table-mining-starter/examples/sample_benchmark_notes.md
What ships with it
9 files 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.
- assets/README.md 127 B
- assets/sample_benchmark_rows.json 765 B
- examples/benchmark_note.md 250 B
- examples/README.md 262 B
- examples/sample_benchmark_notes.md 613 B
- metadata.yaml 1.3 KB
- refs.md 205 B
- scripts/run_benchmark_table_mining.py 12 KB runs code
- tests/test_run_benchmark_table_mining.py 1.8 KB runs code
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.
- 6d ago First seen · 27 lines · 26 tokens per session scan A 954d40ea1582
benchmark-table-mining-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 234 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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