publish
Skill0 starsChanged 2 months agoMITView on GitHub
Analyze which documentation is safe to publish externally, detect information that would leak, and produce external-lens rewrite briefs. Use before publishing docs, opening a repository, or moving internal documentation to a public site.
60 other projects use a version of this.
Adopted by
Most recently taken up by
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- Mharbulous/probanda-devtheir own version, first seen Nov 8, 2026
- hyperstructure/sandboxtheir own version, first seen Nov 8, 2026
- will-17173/telegram-clitheir own version, first seen Nov 8, 2026
- pche-broken-artist/forge-of-thoughttheir own version, first seen Nov 6, 2026
Used with
Projects with it also use render, ingest and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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Generate raster images (PNG, JPEG, WebP) from natural language prompts using Python rendering engines. Covers graphics, charts, layouts, and procedural art. Not for SVG output.
Also in 3 projects that use this
JaimeGBASkillingest
Digest an external source (article, paper, transcript, URL, book chapter) and integrate its content into the knowledge base
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RLM-style recursive memory exploration - dynamically navigate the memory graph
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GoogleSkilltranslate
Translates a common phrase into one or more languages.
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aakash-dharSkilloptimize
Analyzes code for performance issues including slow algorithms, memory leaks, unnecessary re-renders, database query problems, and resource bottlenecks. Use when the user says "this is slow", "optimize this", "performance issue", "why is this taking so long?", or "make this faster".
Also in 3 projects that use this
AnthropicSkillanalyze
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
Also in 3 projects that use this
Other versions60 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 60
- code-yeongyu/oh-my-opencode★ 71ksame name
- code-yeongyu/oh-my-openagent★ 71ksame name
- garrytan/gbrain★ 32ksame name
- TencentCloud/Octop★ 12ksame name
- harbor-framework/harbor★ 6.9ksame name
- laude-institute/harbor★ 6.9ksame name
- Q00/ouroboros★ 6.3ksame name
- paean-ai/deeptide★ 1.1ksame name
- ZimoLiao/scholaraio★ 585same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
50 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 49 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
rewrite[]— write a new document, do not edit the old one: Use the brief in briefs[]. - Distinctive: line 28
no internal jargon, team names, ticket ids, or hostnames
- Distinctive: line 29
no unmitigated risks, no infrastructure topology
- Distinctive: line 32
every example runnable exactly as written
“Common” is measured: kept by at least 6 in 10 of the 49 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Publishing analysis
!docgov publish --json --compact $ARGUMENTS 2>&1 | head -c 10000
The rule this skill exists to enforce
An external document is a different artifact, not a copy of an internal one. They serve different readers and answer different questions. Copying internal documentation outward — even with the secrets removed — produces documentation that is technically safe and practically useless, and it leaks information structure even when it leaks no values.
What to do
blocked[]— report and stop. These contain detected sensitive patterns. List the file, line and what was found. Do not publish, do not "clean up and publish anyway" on your own judgement. Hand it back to the user.rewrite[]— write a new document, do not edit the old one. Use the brief inbriefs[]. Under the external lens:- no internal jargon, team names, ticket ids, or hostnames
- no unmitigated risks, no infrastructure topology
- task-oriented: what the reader wants to do, not how the system is built
- prerequisites stated explicitly, because the external reader has none of your context
- every example runnable exactly as written
publishable[]— still read before shipping. Soft flags (ticket references, email addresses, work-in-progress markers) are judgement calls, not false positives.- Never publish. This skill analyzes and drafts. A human approves and a human ships. Say that explicitly when you report, and do not offer to push anything.
The threat model / public security model pair
These are the canonical example of the same subject needing two documents. The threat model
is visibility: internal and names unmitigated risks. The public security model is
visibility: public and says what you protect and how to report a vulnerability. One is
not a redaction of the other.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

