deepfork
Skill0 starsChanged 4 months agoMITView on GitHub
Reverse-engineer any open-source repo into a clean, queryable understanding and a rebuildable blueprint — then build your own customized version from the blueprint. Use when the user wants to understand how a repo works, learn its architecture, or rebuild a tool with their own changes ("how does X work", "rebuild X but with Y", "reverse engineer X", "deepfork X").
In this repository50 other files it gives its agents.
- aegisSkill
- agent-builderSkill
- agents-team-builderSkill
- ai-applySkill
- auditSkill
- bottleneckSkill
- buildSkill
- capability-radarSkill
- clay-leadsSkill
- cowatchSkill
- design-blueprintSkill
- evalSkill
- fable-modeSkill
- financesSkill
- forgeSkill
- framework-builderSkill
- grill-meSkill
- hooks-builderSkill
- level-upSkill
- loops-builderSkill
- meeting-hudSkill
- multi-brainSkill
- nate-watchSkill
- onboardSkill
- plugin-builderSkill
- ponytailSkill
- presentSkill
- prompt-evalSkill
- radar-harvestSkill
- rag-forgeSkill
- rlsgateSkill
- rnd-loopSkill
- rndSkill
- roastSkill
- routines-builderSkill
- servy-routineSkill
- session-handoffSkill
- skill-builderSkill
- skill-harvestSkill
- sparkSkill
- storm-researchSkill
- studySkill
- talkSkill
- taste-skillSkill
- verify-loopSkill
- verify-specificsSkill
- wheel-of-lifeSkill
- workanaSkill
- workaround-builderSkill
- workflow-builderSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
All outputs go to deepfork-out/<target-name>/ in the current working directory.
- Very specific: line 16
Check the target's license (gh api repos/<owner>/<repo> --jq .license.spdx_id or the LICENSE file).
- Distinctive: line 95
Never paste original source into the rebuild.
- Distinctive: line 96
If the target is enormous (>5k files), deepfork ONE subsystem the user picks from the community list.
- Very specific: line 97
Keep deepfork-out/ out of the rebuilt repo.
≈ “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
DeepFork — don't fork the code, fork the design
You are running a five-phase reverse-engineering pipeline. The product of each phase is a file the user keeps. Never skip Phase 0.
All outputs go to deepfork-out/<target-name>/ in the current working directory.
Phase 0 — License gate (non-negotiable)
Before cloning anything:
- Check the target's license (
gh api repos/<owner>/<repo> --jq .license.spdx_idor the LICENSE file). - Proceed only for OSI-approved licenses (MIT, Apache-2.0, BSD, GPL/AGPL/LGPL, MPL, etc.). No license = all-rights-reserved = stop and tell the user (you may still produce the understanding report from public code, but no rebuild).
- State the rules of engagement in one line to the user:
- The blueprint describes behavior and architecture, never copies code.
- The rebuild is clean-room: written from the blueprint, not from the source.
- Copyleft targets (GPL/AGPL): warn that a rebuild closely derived from the design may carry obligations; recommend the rebuild also be open source.
- The final repo gets an
ATTRIBUTION.mdcrediting the original.
- Record license + rules in
deepfork-out/<target>/LICENSE-GATE.md.
Phase 1 — Acquire
git clone --depth 1 <target-url> deepfork-out/<target>/sourceNote stars/age/activity in one line (context for how battle-tested the design is).
Phase 2 — Comprehend (the graph pass)
With graphify (preferred — check command -v graphify; if missing, offer: uv tool install graphifyy, or proceed to the fallback):
cd deepfork-out/<target>/source
graphify . # code-only is free & local (tree-sitter AST)
# add --backend claude-cli if the repo's docs/images matter to understanding
graphify cluster-only . # names communities, writes GRAPH_REPORT.md
graphify . --wiki # agent-crawlable wiki: index + one page per subsystemFallback (no graphify): build the map by hand — entry points (bin/main/exports), dependency manifest, directory tree with per-dir one-liners, and a call-graph sketch of the top 5 most-imported modules.
Then write UNDERSTANDING.md — the "most clean way to understand this repo":
- One-paragraph thesis — what this repo actually is, mechanically.
- The load-bearing pieces (graphify's god nodes): the 3-7 functions/classes everything routes through. For each: what it does, why everything depends on it.
- Subsystems (the communities): one section each — purpose, key files, how it talks to the others.
- The data flow: trace ONE representative request/call end to end, file by file.
- Surprising connections: the non-obvious couplings (graphify's analysis pass surfaces these) — these are where rebuilds go wrong.
- Honesty labels: mark each claim
[VERIFIED](you read the code) or[INFERRED](from the graph/structure). Verify every load-bearing claim by reading the actual code before labeling it VERIFIED.
Phase 3 — Interrogate
Answer the questions a rebuilder must know, using graphify query / path / explain (or direct reading):
- What is the core algorithm/trick, in plain words? (the thing you'd lose if you rebuilt naively)
- What do the public interfaces promise? (CLI surface, API contracts, file formats)
- Which dependencies are load-bearing vs incidental?
- What does it do at the edges — errors, concurrency, persistence?
- What would break first at 10× scale or hostile input?
Append answers to UNDERSTANDING.md § "Interrogation". Read the real code for anything still [INFERRED] that the rebuild depends on.
Phase 4 — Blueprint
Ask the user the customization question before writing (this is the whole point — their version, not a clone):
"What do you want YOUR version to do differently? (different language/stack, smaller scope, new capability, different storage, simpler/embedded, …)"
Then write BLUEPRINT.md — a spec someone could build from WITHOUT ever seeing the original source:
- Mission — what the new tool does, for whom, in 2 sentences.
- Architecture — components, responsibilities, boundaries (informed by the original's communities, improved where the surprising-connections pass showed accidental coupling).
- Core mechanisms — each described behaviorally (inputs → transformation → outputs, invariants, edge rules). Pseudocode allowed; copied code forbidden.
- Contracts — CLI/API surface, file formats, config schema.
- The user's customizations — explicit deltas from the original's design, each with rationale.
- Build order — milestones, each independently testable; test strategy per mechanism.
- Dependency decisions — what to take, what to write, what to drop (with the original's choices as evidence).
Phase 5 — Rebuild (clean-room)
- Scaffold a fresh repo (new directory, user's name, their license choice).
- Close the original source. Build from
BLUEPRINT.mdonly. If you must check behavior, run the original as a black box (inputs/outputs) — do not read its code during implementation. - Build milestone by milestone, tests first for the core mechanisms.
- Ship with
ATTRIBUTION.md: "Design informed by reverse-engineering<original>(<license>). Implementation is original, built clean-room from a behavioral blueprint." - Final check: diff-of-spirit — does YOUR version do the user's deltas, not just clone the original?
Guardrails
- Phase 0 always runs. Private/leaked/unlicensed code: understanding-report only, never a rebuild.
- Never paste original source into the rebuild. Behavioral description is the only thing that crosses the wall.
- If the target is enormous (>5k files), deepfork ONE subsystem the user picks from the community list.
- Keep
deepfork-out/out of the rebuilt repo.
Does it work?
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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.

