Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pantheon-org/tekhnenpx agentmods add skills/pantheon-org/tekhne/reproduce-benchmarkWrote 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/pantheon-org/tekhne/reproduce-benchmark)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/reproduce-benchmark"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/reproduce-benchmark/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/pantheon-org/tekhne/reproduce-benchmark"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/reproduce-benchmark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 162 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 164 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00073 | $0.01598 |
| Opus 5 | $0.00036 | $0.00799 |
| Sonnet 5 | $0.00015 | $0.00320 |
| Haiku 4.5 | $0.00007 | $0.00160 |
Grade A, and why
reproduce-benchmark 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 9d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reproduce Benchmark
Run a tool's or paper's benchmark harness and record what could and could not be verified.
When to Use
- User asks to reproduce or verify benchmark claims for a triaged tool or paper
- Following up on a triage or analysis where self-reported metrics need independent verification
- User provides a slug, reference path, or analysis path and says "run the benchmark"
When Not to Use
- The subject has not yet been triaged — run
triage-toolortriage-paperfirst - A repro file already exists in
benchmarks/sources/— report it and offer to re-run instead - The benchmark requires live external services or paid APIs that are unavailable — set outcome to
unverifiedand document the blocker
Recommended MCP Servers
If the benchmark harness or reported figures need to be looked up from the original paper, prefer these MCPs over WebFetch:
{
"mcpServers": {
"semantic-scholar": {
"type": "stdio",
"command": "uvx",
"args": ["semantic-scholar-fastmcp"]
},
"google-scholar": {
"type": "stdio",
"command": "uvx",
"args": ["google_scholar_mcp_server"]
}
}
}
See triage-paper for full setup guidance.
Mindset
Reproduction is a verification exercise, not a sales pitch.
- Record what you observe: quote actual output, not what the README says the output should be.
- Mark everything reported: any figure from the README or paper must carry
(as reported). Never blend reported and verified numbers without distinguishing them. - Partial is better than fabricated: if only some scenarios run, record those honestly. Set outcome to
partially-verified. - Environment matters: cold-start overhead, fixture quality, and dependency versions all affect results. Document them.
Workflow
1. Identify the subject
- Confirm the slug from the user (e.g.
context-mode,jiang-llmlingua). - Locate the reference file (
references/<slug>.md) and analysis file (analysis/ANALYSIS-<slug>.md) if they exist.
What ships with it
6 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.
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.
- 9d ago First seen · 169 lines · 73 tokens per session scan A afdd4aadc8c5
reproduce-benchmark is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 1,598 once invoked, about $0.0004 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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