visualize
Skill444 starsChanged 31 days agoMITView on GitHub
Render an Open Knowledge Format (OKF) bundle as a single self-contained, interactive HTML graph (viz.html) — concepts as nodes coloured by type and sized by body length, markdown links and bundle-internal `sources` as edges, a wiki-style detail panel with rendered markdown, v0.2 trust/lifecycle/provenance metadata, and "Links to" / "Cited by" backlinks, layout switching, per-type filter and search. Use when asked to visualize, graph, preview, or explore an OKF bundle.
- Installs packages
45 other projects use a version of this.
Adopted by
Most recently taken up by
- ex3ndr/skillstheir own version, first seen Nov 1, 2026
- therapys/dotagentstheir own version, first seen Nov 1, 2026
- Adrian333Dev/flowtheir own version, first seen Nov 1, 2026
- liormesh/trestletheir own version, first seen Nov 1, 2026
- stefanprodan/1ctxtheir own version, first seen Oct 25, 2026
- PKU-DAIR/AutoScitheir own version, first seen Oct 25, 2026
Used with
Projects with it also use exp-pilot-eval, exp-pilot-run and 10 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.
skyllwtSkillexp-pilot-eval
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
Also in 4 projects that use this
skyllwtSkillexp-pilot-run
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
Also in 4 projects that use this
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 4 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 4 projects that use this
phanghonghaoSkillposter
HTML/CSS A4 海报生成。从沙龙/活动 Markdown 文件生成科技风 A4 海报 PDF/PNG。Use when user mentions: poster, 海报, 海报生成, make poster, generate poster, 活动海报, 沙龙海报.
Also in 4 projects that use this
- +1 more from skyllwt
- +6 more from Lambenthan
Other versions45 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 45
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- amosblomqvist/learn★ 3.4ksame name
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
35 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
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 43 edited versions we read keep these.
0
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 27
If uv is unavailable:
“Common” is measured: kept by at least 6 in 10 of the 43 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
Visualize an OKF bundle
Generate a self-contained HTML graph of the target bundle. The bundle directory
is required, so pass .okf explicitly when no path is given. No backend, no
install, no bundle content leaves the page. The viewer does need network
access: cytoscape, marked and dompurify load from cdn.jsdelivr.net.
uv run "${CLAUDE_SKILL_DIR}/scripts/okf_visualize.py" $ARGUMENTSIf uv is unavailable:
python3 -m pip install --quiet pyyaml && \
python3 "${CLAUDE_SKILL_DIR}/scripts/okf_visualize.py" $ARGUMENTSThe detail panel shows each concept's type, description, tags, status,
generated, verified, stale_after, sources (with their credibility
signals, a usage_count alongside the usage_window that frames it), and
rendered body; a sources entry pointing at another concept in the bundle also
becomes a graph edge. A v0.1 timestamp is read as generated.at, so legacy
bundles still render fully.
Two badges are derived, not read: the §5.3 trust tier
(unverified / machine-confirmed / human-reviewed, keyed off the human:
prefix in verified[].by) and staleness (now >= stale_after). They are
advisory signals — when reporting on a bundle, say which tier a concept is in
rather than treating any of them as a gate.
| Flag | Effect |
-o <path> | Output file (default <bundle>/viz.html). |
-t, --title | Graph title (default parent/bundle dir name). |
-l, --link | Source URL shown in the header. |
--layout | cose, concentric, breadthfirst, circle, grid. |
--max-nodes N | Exit 1 above N concepts (useful in CI). |
--og-image URL | Absolute URL for the social preview image. |
Above 1,000 concepts the default switches to concentric (force freezes the
page; --layout cose overrides, and the in-page picker asks first). Above
5,000 it warns that the page loads slowly and reads as a hairball, and
suggests rendering a subdirectory.
Open it in any browser; ${CLAUDE_SKILL_DIR} resolves whether this runs as part
of the okf plugin or as a standalone skills.sh skill. The page is
deep-linkable: ?select=<concept-id> or #<concept-id> opens that concept,
?layout=<name> presets the layout.
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
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- 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.

