Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Write a human-readable mathematical progress report (compiled PDF) on a project for the operator / the mathematician who posed the problem.
$ npx skills add frenzymath/Danus --skill human-summary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install frenzymath/Danus human-summary --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/frenzymath/Danus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/human-summary .claude/skills/human-summary && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "human-summary" agent skill from https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summary into .claude/skills/human-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-summary", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summaryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add frenzymath/Danus --skill human-summary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install frenzymath/Danus human-summary --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/frenzymath/Danus.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/human-summary .agents/skills/human-summary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "human-summary" agent skill from https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summary into .agents/skills/human-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-summary", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add frenzymath/Danus --skill human-summary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install frenzymath/Danus human-summary --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/frenzymath/Danus.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/human-summary .cursor/skills/human-summary && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "human-summary" agent skill from https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summary into .cursor/skills/human-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-summary", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/frenzymath/Danus.git --path .agents/skills/human-summary--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add frenzymath/Danus --skill human-summary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install frenzymath/Danus human-summary --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/frenzymath/Danus.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/human-summary .gemini/skills/human-summary && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "human-summary" agent skill from https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summary into .gemini/skills/human-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-summary", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install frenzymath/Danus human-summaryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add frenzymath/Danus --skill human-summary -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/frenzymath/Danus.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/human-summary .github/skills/human-summary && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "human-summary" agent skill from https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summary into .github/skills/human-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-summary", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add frenzymath/Danus --skill human-summary -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install frenzymath/Danus human-summary --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/frenzymath/Danus.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/human-summary .opencode/skills/human-summary && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "human-summary" agent skill from https://github.com/frenzymath/Danus/tree/codex/.agents/skills/human-summary into .opencode/skills/human-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-summary", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
human-summaryWrite a human-readable mathematical progress report (compiled PDF) on a project for the operator / the mathematician who posed the problem.
Human Summary is an agent skill from frenzymath/Danus. Write a human-readable mathematical progress report (compiled PDF) on a project for the operator / the mathematician who posed the problem. This is NOT elaboration (the internal strategy synthesis) and NOT the dashboard. Render from the fact graph's verified statements/proofs into a clean, self-contained report — precise problem statement, essential partial results with REAL proof sketches, the one major obstacle, a neutral approach timeline, and the single remaining lemma written out in full — then output a…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files (for example `doctor.sh`, `examples/README.md` and `examples/odd-sum/PROBLEM.md`).
It sits in Documents & Office, covering PDF. The repository describes itself as: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory. The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6d92e8d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Shell and JavaScript), which the agent can run.
Shell commands in SKILL.md call:
bashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Human Summary loads about 1.7k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 827 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from frenzymath/Danus at commit 6d92e8d, republished under its Apache-2.0 licence (© frenzymath). 827 words, ~1,717 tokens.
.claude/skills/human-summary/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.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.
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 does
report.md exist as a clean artifact.status != "ok" (error / timeout / leak): no clean report.md is
written. On a leak, the offending output is quarantined at report.leaky.md
and leak_findings names 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, surface stderr_tail.You never read the fact graph and never write the report prose; the tool owns
both. If the operator asks for a different language/register, that is a property
of the writer prompt (agents/skills/human-summary/REPORT_WRITER_PROMPT.md,
operator-editable) — the register rule (narrative in the operator's language,
all standard math terminology in English) and the five-section structure are
locked there, not here.
Once you have a clean report.md, render it to a self-contained PDF:
bash "${CLAUDE_SKILL_DIR}/render_pdf.sh" <report.md> <out.pdf> "Title"This server-renders markdown + KaTeX into self-contained HTML and prints it to
PDF via headless Chrome — so the math + fonts are handled without any LaTeX
engine. Deliver the PDF path to the operator — never paste raw
$...$/\boxed{} into chat; it shows as tex garbage and is unreadable.
The tool's leak check is the primary guard, and the scrub makes a leak structurally impossible. As a belt-and-braces backstop before you deliver, you may still grep the rendered source:
grep -E '[0-9a-f]{16}' <report.md> # must return nothing (no fact_id / hash prefix)If this (or the tool's leak_findings) ever fires, treat the report as
compromised: do not deliver it, and report the finding.
For reference — you do not enforce these, the isolated writer does:
reduction, coboundary, full-rank,
saturation, negative twist, Green–Griffiths, …). Math is identical across
language versions; only the prose language changes.master_guidance, no swarm/worker/verifier
vocabulary, blank author, no run timestamps.elaborationelaboration | human-summary | |
|---|---|---|
| audience | the main agent (internal strategy) | a human mathematician |
| density | maximal, terse, status tables | readable prose + detailed proof sketches |
| ids | cites fact_ids | none |
| length | tight | as long as the math needs (multi-page is normal) |
| output | a global-memory entry (kind elaboration) | a compiled PDF |
Run human-summary on demand (the operator asks for a report) or periodically
as an operator update — it is separate from the internal strategy cycle, and it
never feeds internal strategy nor reads/writes global memory as truth. It is also NOT
write-paper: no bibliography, no external_refs, no house style — a private
progress report, not a publication artifact.
DANUS_CHROME_BIN (from
scripts/env.sh) or a google-chrome on PATH. This is a local PDF-render
binary only; it is unrelated to any browser transport. Confirm with
bash "${CLAUDE_SKILL_DIR}/doctor.sh".scripts/bootstrap.sh) + the pinned node deps
(markdown-it, katex) in package.json. render_pdf.sh installs them once if
absent; the KaTeX CSS is then vendored from the local install, so subsequent
renders need no network.A tiny 3-fact example under examples/ exercises the render pipeline end to end.
© frenzymath, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files in .agents/skills/human-summary of frenzymath/Danus.
Open the folder on GitHubat commit 6d92e8d
Human Summary next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Human Summary this skillfrenzymath/Danus | 476 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Gzh Designisjiamu/gzh-design-skill | 3.9k | 1 repos | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| GenOffice Document CLIgenspark-ai/genoffice | 9k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Harness Book Best Practicewquguru/harness-books | 3.2k | — | ~4.1k | Automated safety check: Pass | None | |
| Bookforge Korean Ebook PDF Makergongnyang/bookforge | 315 | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
isjiamu/gzh-design-skill
微信公众号文章排版引擎,将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取,自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入(非 Markdown…
genspark-ai/genoffice
Creates, converts, reads and edits real pptx, xlsx, docx and PDF files locally through the genoffice command line.
wquguru/harness-books
Best practices for working on the Harness books repo. An agent skill from wquguru/harness-books.
gongnyang/bookforge
Produces book-style Korean ebook PDFs from a topic or finished manuscript, with six design styles, real book parts and quality-check gates before output.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
frenzymath/Danus
Validate externally referenced theorems by querying arXiv theorem search first and Codex's built-in web search second.
frenzymath/Danus
Construct candidate counterexamples to test a proposed conjecture, lemma, or intermediate claim by keeping the assumptions true while making the claimed conclusion fail.
frenzymath/Danus
Generate and analyze simpler examples that satisfy both the assumptions and the conclusion of a theorem statement or subgoal.
frenzymath/Danus
Screen a decomposition plan by first trying to prove all of its subgoals directly, then identifying the key stuck points if the plan does not fully go through.
frenzymath/Danus
Synthesize the common stuck points across failed decomposition plans.
frenzymath/Danus
Derive immediate mathematical consequences from a theorem statement or subgoal.
Categories
Write a human-readable mathematical progress report (compiled PDF) on a project for the operator / the mathematician who posed the problem. Human Summary is an agent skill from frenzymath/Danus. Write a human-readable mathematical progress report (compiled PDF) on a project for the operator / the mathematician who posed the problem.
Human Summary fits situations like: tasks that involve PDF.
Run `npx skills add frenzymath/Danus --skill human-summary -a claude-code`. Or copy the skill folder (.agents/skills/human-summary in frenzymath/Danus) into .claude/skills/human-summary in your project. Claude Code loads it when a task matches its description.
Run `npx skills add frenzymath/Danus --skill human-summary -a codex`. Or copy the skill folder (.agents/skills/human-summary in frenzymath/Danus) into .agents/skills/human-summary in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add frenzymath/Danus --skill human-summary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/human-summary, .gemini/skills/human-summary, .github/skills/human-summary and .opencode/skills/human-summary in your project.
Going by SKILL.md and its folder, Human Summary needs a shell and JavaScript for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: Node.js; A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Human Summary is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Human Summary: Markitdown (ImCa0/just-laws, 782 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), GenOffice Document CLI (genspark-ai/genoffice, 9k stars) and Harness Book Best Practice (wquguru/harness-books, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
frenzymath (a GitHub organization) maintains it in frenzymath/Danus, which has 476 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on August 27, 2026.
Source: frenzymath/Danus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.