Borrowing it
Nothing to install: this file belongs to Sibyl-Research-Team/AutoResearch-SibylSystem. 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/Sibyl-Research-Team/AutoResearch-SibylSystem/main/.claude/skills/sibyl-experimenter/SKILL.mdgit clone --depth 1 https://github.com/Sibyl-Research-Team/AutoResearch-SibylSystemWrote 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/sibyl-research-team/autoresearch-sibylsystem/sibyl-experimenter)<a href="https://agentmods.dev/skills/sibyl-research-team/autoresearch-sibylsystem/sibyl-experimenter"><img src="https://agentmods.dev/badge/skills/sibyl-research-team/autoresearch-sibylsystem/sibyl-experimenter/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/sibyl-research-team/autoresearch-sibylsystem/sibyl-experimenter"><img src="https://agentmods.dev/badge/skills/sibyl-research-team/autoresearch-sibylsystem/sibyl-experimenter.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 | $0.00025 | $0.00303 |
| Opus 5 | $0.00013 | $0.00151 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
sibyl-experimenter 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 13d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 13d ago First seen · 23 lines · 25 tokens per session scan A 920569f92200
sibyl-experimenter is a skill published in the GitHub repository Sibyl-Research-Team/AutoResearch-SibylSystem (277 stars, last pushed 5mo ago), with no licence file. It adds 25 tokens to every session and 303 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 2026-08-30.
Other skills, from other repositories
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experiment-suite
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ai4s-agent
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novelty-check
A research process for checking whether a research idea or proposal is genuinely new. It compares the idea's main technical claims with work found in arXiv, Google Scholar and Semantic Scholar, then rates each claim.
publication-figures
Use whenever you generate or review a chart, plot, table, or paper figure in this workspace, including work delegated by paper-writing, literature-survey, and experiment skills. Applies the Open Science publication style, enforces readable final-size layout for figures and tables, and rejects generic diagram-tool…
large-file
Use BEFORE reading any data file that could be large (CSV/TSV, Parquet, HDF5, FITS, NetCDF, NDJSON, genomics FASTQ/FASTA/VCF/BAM, GRIB, ROOT, or big text/simulation logs like VASP OUTCAR). Returns a compact memory pointer — header/schema/shape/sample/key numbers — by introspection and sampling in bounded memory, so…