workbench
Skill618 starsChanged 3 months agoApache-2.0View on GitHub
Iterating on the vendo() harness or screen agent interactively — running the harness workbench, watching harness internals live (steps, compaction, guard, loadout), hot-reload edit loops on @vendoai packages, debugging a turn. Cross-ref: use genbench to MEASURE a change; workbench to FEEL and debug it.
- Installs packages
3 other projects use a version of this.
Adopted by
Most recently taken up by
- wubinKKK/private-ai-workbenchtheir own version, first seen Nov 8, 2026
- bmaltais/skillstheir own version, first seen Nov 1, 2026
- vincenzo345/skillstheir own version, first seen Oct 17, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- wubinKKK/private-ai-workbench★ 4same name
- bmaltais/skills★ 2same name
- vincenzo345/skills★ 1same name
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
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
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
- Distinctive: line 32
Ask Maple to build something to watch a screen-agent run (tagged, 10-step cap).
- Very specific: line 46
After a harness change, pnpm build, then the genbench skill for before/after scores (genbench reads built dists).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
workbench
Maple (examples/demo-bank) plus whole-graph dev source aliasing plus a
dev-only internals pane behind VENDO_WORKBENCH=1 (server env; unset means
zero diagnostic parts on the wire). Shipped in PR #1130.
Run
pnpm install && pnpm build # once — dist must exist; @vendoai/vendo/store stays dist-pinned, so edits there need a rebuild
VENDO_WORKBENCH=1 pnpm --filter demo-bank dev
open http://localhost:3000Pane docks right: Timeline / Context / Tools / Guard / Raw, plus a turn selector.
Loop
Chat → read the pane → edit packages/*/src (loop.ts, compaction.ts,
vendo.ts are the usual suspects — note packages/vendo/src/harnesses/vendo/ is
an author-involved zone per its CLAUDE.md) → save → the next message runs the
edit. In-flight turns finish on the old code.
Levers
MAPLE_HARNESS=context-e2e— 32k context window, so a few messages reach compaction.- Ask Maple to build something to watch a screen-agent run (tagged, 10-step cap).
- The "demo feed" button replays a canned turn for pane-UI work without spending tokens.
Architecture, three lines
Harness sink packages/vendo/src/harnesses/workbench.ts → transient
data-vendo-debug parts (never persisted) → ui feed store
packages/vendo/src/ui/chrome/workbench-store.ts (20-turn retention) → pane in
examples/demo-bank/src/components/vendo/workbench/.
Measuring
After a harness change, pnpm build, then the genbench skill for
before/after scores (genbench reads built dists).
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.

