opensrc
Skill11 starsChanged 49 days agoMITView on GitHub
Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for", "read the source of", "how does X work internally", "get the implementation of", "opensrc path", or any task requiring access to dependency source code beyond types and docs.
9 other projects use a version of this, 6 of them edited.
Adopted by
Most recently taken up by
- umararshad4/honey-stacktheir own version, first seen Nov 1, 2026
- deadlock-mod-manager/deadlock-mod-managertheir own version, first seen Oct 8, 2026
- remorses/kimakiedited, first seen Oct 8, 2026
- Stormix/transcripts-mcptheir own version, first seen Sep 6, 2026
- canvascoding/canvas-notebookedited, first seen Aug 27, 2026
- nitikeshq/skillsedited, first seen May 22, 2026
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 6
- vercel-labs/opensrc★ 3k100% same
- remorses/kimaki★ 1.4k50% same
- s-hiraoku/synapse-a2a★ 1788% same
- canvascoding/canvas-notebook★ 12100% same
- huangzida/skills★ 2100% same
- nitikeshq/skills★ 2100% same
Wrote their own version · 3
- deadlock-mod-manager/deadlock-mod-manager★ 584same name
- Stormix/transcripts-mcp★ 8same name
- umararshad4/honey-stack★ 5same 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.
In this repository44 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- auditing-uiSkill
- browser-testingSkill
- capturing-product-mediaSkill
- ci-local-exportSkill
- ci-pulseSkill
- ci-quarantineSkill
- ci-statusSkill
- creating-pull-requestsSkill
- debugging-systematicallySkill
- debugging-test-failuresSkill
- debugging-typescript-errorsSkill
- deps-weeklySkill
- designing-frontendSkill
- organizing-fsd-architectureSkill
- runtime-watchSkill
- stewarding-ci-pipelineSkill
- syncing-agent-skillsSkill
- verification-before-completionSkill
- vision-drift-checkSkill
- visual-companionSkill
- writing-adrsSkill
- writing-app-copySkill
- writing-blog-postsSkill
- writing-changelogsSkill
- writing-developer-guidesSkill
- writing-for-humansSkill
- writing-to-usersSkill
- adding-config-fieldsSkill
- clarifying-requirementsSkill
- maintaining-dependenciesSkill
- maintaining-dev-playgroundSkill
- managing-specsSkill
- marketplace-devSkill
- orchestrating-parallel-workSkill
- reading-session-transcriptsSkill
- receiving-code-reviewSkill
- requesting-code-reviewSkill
- styling-with-tailwind-shadcnSkill
- test-driven-developmentSkill
- upgrading-runtime-dependenciesSkill
- working-in-worktreesSkill
- dorkbot-triageSkill
The file
We split this skill into the rules it gives an agent
2 rules. 2 are common, 0 are distinctive, and 0 are very specific to this project.
2
Common
Most of the 9 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 77
Verify how a function handles edge cases
- Common: line 79
Don't fetch source for simple API usage questions that docs or types can answer.
“Common” is measured: kept by at least 6 in 10 of the 9 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
Source Code Fetching with opensrc
Fetches dependency source code so agents can read implementations, not just types. Clones repositories at the correct version tag and caches them globally at ~/.opensrc/.
Core Pattern
rg "parse" $(opensrc path zod)
cat $(opensrc path zod)/src/types.ts
find $(opensrc path zod) -name "*.test.ts"opensrc path <pkg> prints the absolute path to cached source. If not cached, it fetches automatically. Progress goes to stderr, path to stdout, so $(opensrc path ...) works in subshells.
Fetching Source Code
opensrc path zod
opensrc path pypi:requests
opensrc path crates:serde
opensrc path facebook/react
# Multiple packages at once
opensrc path zod react next
opensrc path pypi:requests pypi:flask
opensrc path crates:serde crates:tokio
# Specific versions
opensrc path zod@3.22.0
opensrc path pypi:flask@3.0.0
opensrc path owner/repo@v1.0.0
opensrc path owner/repo#mainVersion Resolution
For npm packages, opensrc auto-detects the installed version from lockfiles (package-lock.json, pnpm-lock.yaml, yarn.lock). Use --cwd to resolve from a different project:
opensrc path zod --cwd /path/to/projectFor PyPI and crates.io, explicit versions or latest are used. For repos, use @ref or #ref to pin a branch, tag, or commit.
Managing the Cache
Source is cached globally at ~/.opensrc/ (override with OPENSRC_HOME).
opensrc list # show all cached sources
opensrc list --json # JSON output
opensrc remove zod # remove a package
opensrc remove facebook/react # remove a repo
opensrc clean # remove everything
opensrc clean --npm # only npm packages
opensrc clean --pypi # only PyPI packages
opensrc clean --crates # only crates.io packages
opensrc clean --packages # all packages, keep repos
opensrc clean --repos # all repos, keep packagesWhen to Fetch Source
Fetch source when you need to:
- Understand internal behavior that types don't reveal
- Debug unexpected library behavior
- Learn patterns from well-known implementations
- Verify how a function handles edge cases
Don't fetch source for simple API usage questions that docs or types can answer.
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.

