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 agentmods add skills/frenzymath/danus/human-summarynpx skills add frenzymath/Danus --skill human-summarygit clone --depth 1 https://github.com/frenzymath/DanusWrote 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/frenzymath/danus/human-summary)<a href="https://agentmods.dev/skills/frenzymath/danus/human-summary"><img src="https://agentmods.dev/badge/skills/frenzymath/danus/human-summary.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.01659 |
| Opus 5 | $0.00051 | $0.00830 |
| Sonnet 5 | $0.00021 | $0.00332 |
| Haiku 4.5 | $0.00010 | $0.00166 |
Grade A, and why
human-summary 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 5d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Human-readable progress report
You are the main agent. This skill produces a human-facing math report — for the operator, or the mathematician who posed the problem. The audience is a mathematician fluent in standard English math terminology who knows nothing about how the work was produced.
You do not author the prose yourself and you do not read the fact files.
The report is written by an isolated report-writer codex behind the
human-summary MCP tool, which is fed ONLY the verbatim problem statement and a
scrubbed, id-free bundle of the project's verified results. That isolation is
the structural guarantee that no internal identifier (fact_id, author,
predecessors, …) or system/orchestration vocabulary can reach the report — the
author's window never contains any of it. Your job is to call the tool, then
render and deliver the PDF.
Step 1 — generate the clean report.md (the tool does the writing)
Call the MCP tool (server human-summary):
summary_write(project="<project>")
It assembles the writer prompt + PROBLEM.md + a scrubbed fact bundle
(statement / proof / intuition bodies only — all frontmatter stripped, no fact
ids, no author names, no machinery), drives an isolated codex, writes the result
to <project>/report/report.md, and runs a leak check on the output. It
returns a small dict:
{report_md_path, status, returncode, leak_findings, stderr_tail}
Honesty gate — do not proceed unless status == "ok":
status == "ok"means: codex exited 0, produced a non-empty report, AND the leak check found zero hits (leak_findings == []). Only then doesreport.mdexist as a clean artifact.status != "ok"(error/timeout/leak): no cleanreport.mdis written. On a leak, the offending output is quarantined atreport.leaky.mdandleak_findingsnames what leaked — report this to the operator, do NOT render or deliver it, and do NOT hand-fix and pass it off as clean. If codex failed, surfacestderr_tail.
What ships with it
10 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.
- doctor.sh 1.3 KB runs code
- examples/odd-sum/fact_graph/facts/fact_odd_recurrence.md 509 B
- examples/odd-sum/fact_graph/facts/fact_odd_sum_main.md 774 B
- examples/odd-sum/fact_graph/facts/fact_square_recurrence.md 405 B
- examples/odd-sum/PROBLEM.md 413 B
- examples/README.md 1.2 KB
- examples/report.md 1.8 KB
- md2html.js 3.4 KB runs code
- package.json 82 B
- render_pdf.sh 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.
- 5d ago First seen · 134 lines · 103 tokens per session scan A d31906588e38
human-summary is a skill published in the GitHub repository frenzymath/Danus (401 stars, last pushed 9d ago), licensed Apache-2.0. It adds 103 tokens to every session and 1,659 once invoked, about $0.0005 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.
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