Dag Deepen
Architecture-deepening scan as a DAG: deterministic git-hotspot discovery picks the highest-friction modules, one agent leaf per hotspot concurrently hunts shallow modules (deletion test, deep-interface sketches), a synthesis leaf dedups cross-hotspot repetition and ranks by leverage, HTML report of candidates. Trigger: improve architecture / 找重构机会 / deepen modules / architecture report / dag-dee…
Install
$ agentstack add skill-abysscn-oh-my-dag-dag-deepen ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-abysscn-oh-my-dag-dag-deepen) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
/dag-deepen — architecture-deepening candidate scan
Engine-shaped port of Matt Pocock's improve-codebase-architecture: instead of one agent wandering the repo, a deterministic hotspot pass (git touch frequency over recent commits, zero LLM) picks the modules where friction actually lives, then a fleet of agent leaves scans them concurrently — each hunting shallow modules with the deletion test — and a synthesis leaf merges cross-hotspot duplication (the same logic hand-rolled in N places = one shared-util candidate, the global win a single scan can't see) and ranks by leverage. Output: an HTML report of before/after interface sketches.
Usage
bun run scripts/dag-deepen.ts [] \
[--commits N] # commits scanned for hotspot discovery (default 200)
[--hotspots K] # top-K hotspot modules to scan (default 6)
[--model M] # leaf model (default OMD_LEAF_MODEL → deepseek:deepseek-v4-flash)
[--out path] # report path (default $TMPDIR/omd-deepen-.html)Name a direction to skip repo-wide ranking: bun run scripts/dag-deepen.ts "src/harness/plan". Report lands in $TMPDIR/omd-deepen-.html (Tailwind + Mermaid cards, one per candidate: files / friction / deletion-test verdict / before-after / strength).
Discipline
- Hotspot-first is YAGNI for architecture: only recently-touched modules get scanned —
friction you aren't paying is friction you don't refactor. Widen with --commits, don't tour the whole repo.
- Candidates are inputs to
/grill, not conclusions: every run ends by telling you to
grill the chosen candidate before touching code. dag-deepen never edits files, never opens a PR.
- Vocabulary lives in
/codebase-design(shallow module / deletion test / deep
interface / leverage / locality): the scan prompts inject that single source — read it there, don't re-derive it here.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: AbyssCN
- Source: AbyssCN/oh-my-dag
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.