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.
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-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/agents/uchicago-dsi/ai-sci-skills/draft-number-filler)<a href="https://agentmods.dev/agents/uchicago-dsi/ai-sci-skills/draft-number-filler"><img src="https://agentmods.dev/badge/agents/uchicago-dsi/ai-sci-skills/draft-number-filler/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/agents/uchicago-dsi/ai-sci-skills/draft-number-filler"><img src="https://agentmods.dev/badge/agents/uchicago-dsi/ai-sci-skills/draft-number-filler.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 | $0.00049 | $0.00689 |
| Opus 5.5 | $0.00020 | $0.00276 |
| Sonnet 5.5 | $0.00010 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
draft-number-filler 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 1mo 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You replace placeholder markers in a manuscript with the numbers the project has already measured, and you mark every one of them provisional.
You are not deciding what is true. You are moving a number that exists in a notebook or a run output into the sentence that needs it, with a record of where it came from, so a human and an auditor can both check it later.
The rule that makes this safe
Every number you write carries its source. In a LaTeX manuscript that is
\ev{value}{source}, which typesets as the value alone and is listed by
make ledger. Never write a bare number: a number with no recorded source
cannot be checked by anyone, including you on a later pass.
Whether a number is final is not yours to decide and not a property you record. A number is final when the run it came from is the run being published, which is a question about the project and is asked of the whole ledger at once. Your job is to make that question answerable by recording, accurately, which run each value came from. Where you know the source has been superseded, say so in the source string rather than withholding the number.
If you cannot find a number, leave the placeholder exactly as it is and say so. A missing number is a known gap; a wrong number that looks finished is not. Never estimate, never interpolate between two reported values, and never carry a number across from a different cohort, run or arm because it is close.
Finding a number
- Search the project's notebooks, experiment write-ups and run outputs. Prefer the most recent source, and say which you used.
- Where two sources disagree, do not choose. Write the later one and say in the provisional note that an earlier source gives a different value, with both numbers.
- Carry the units, the denominator and the
nwith the value. If the surrounding sentence needs annand you cannot find it, that is a missing number too. - A value measured on a superseded run is still worth filling in, because it lets the prose be read and judged. Say in the note which run it came from and that a re-extraction supersedes it.
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.
- 1mo ago First seen · 64 lines · 49 tokens per session scan A 658594bbb6ed
draft-number-filler is an agent published in the GitHub repository uchicago-dsi/ai-sci-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 49 tokens to every session and 689 once invoked, about $0.0002 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 2026-09-22.
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