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onboard-dsh-projects

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License: MIT Status: preview

A DeepSeek Harness skill that lets one AI session drive many code repositories — without their contexts bleeding into each other.

The scariest failure mode in AI-assisted coding isn't a weak model — it's crossed context. Debug a bug across three repos and repo A's instructions leak into repo B's code; you edit the wrong branch, or write somewhere you shouldn't. onboard-dsh-projects puts every repository in its own isolated entry agent, then adds an optional controller to orchestrate the whole effort.


Why it exists

Pain What this skill does
😵 Context pollution One isolated entry subagent per repo: instructions, index, evidence, and edits all stay in their own context
🔀 Repo and baseline drift Verifies root, branch, HEAD, and dirty state before every run; drift blocks, it never silently proceeds
💸 Model and task mismatch Three-tier model routing: routine work on v4-flash, engineering and high-stakes work on v4-pro
🔁 Repeating the same mistakes A bounded experience index: proven strategies are reused, deterministic failures reject the same mechanism
🧠 Controller memory bloat The controller keeps only cross-project contracts and dispatch state; the ledger is hash-chained and archived, never growing without bound

In one line: when a feature, incident, or release spans multiple repositories with different instructions, branch rules, test commands, or write scopes — this is the skill for it.

What you get

  • ✅ Per repository: one read-only verification → one snapshot index (structure / entrypoints / docs / glossary) → one long-lived entry subagent
  • ✅ Optional controller: dispatch queue state machine + hash-chained CHAIN records + three-tier model routing + bounded experience reuse
  • ✅ Every piece of state is CAS-hash-verified; mutations must go through a Read → Prepare → Apply → Read protocol — no hand edits, no drift
  • ✅ Toolchain preflight, closed input parsing (rejects credentials, unsafe refs, duplicate conflicts); fails closed by default

Architecture

flowchart LR
    U[User] --> C[Controller agent]
    C -->|dispatch balanced| E1[Repo A entry agent]
    C -->|dispatch balanced| E2[Repo B entry agent]
    C -->|dispatch frontier| E3[Contract freeze / high-stakes work]
    E1 --> I1[(A snapshot index)]
    E2 --> I2[(B snapshot index)]
    C --> Q[(Dispatch queue + CHAIN hash ledger)]
    Q --> M[Monthly archive]
    E1 -->|result evidence| C
    E2 -->|result evidence| C
Loading

Quick start (30 seconds)

In a DeepSeek Harness conversation, just say:

Use onboard-dsh-projects.

sources:
- source: C:\work\service-a
- source: C:\work\web-app
indexMode: full

For cross-project work, add the controller:

Use onboard-dsh-projects.

sources:
- source: C:\work\service-a
- source: C:\work\web-app
controllerRoot: <absolute path inside the workspace>
initializeController: true
createControllerAgent: true

Then hand the problem to the controller in plain language:

Trace the H5 login flow end-to-end across the H5 app, mall backend, and member service.
Read-only first, freeze the shared interface contracts, dispatch checks to each repo's
entry agent, and return end-to-end evidence.

Highlights

  • 🧩 Four-quadrant intake protocol — shared-known / user-known / agent-known / shared-unknown each get their own handling; no guessing, no interrogation
  • 🔒 Read-only onboarding, writes authorized separately — external repos are read-only by default; cloning, branch switches, and commits each require explicit authorization
  • 🎯 Model routing — ships preconfigured for this deployment's real models: economydeepseek-v4-flash, balanced/frontierdeepseek-v4-pro; one command to change
  • 🧾 Hash-chained ledger — one CHAIN per dispatch, line-by-line hash chaining, terminal records archived under state/archive/YYYY-MM/; verifiable and traceable
  • 🧪 Tested for real — every script runs on Windows PowerShell 5.1: preflight, input parsing, indexing, CAS state machine, dispatch queue, chain store; end-to-end integration tests green

Versus one long session

Approach Context and lifecycle Best for
One long session All repos share one ever-growing context Quick, low-risk checks where rules don't differ
This skill Per-repo entry agents + controller holds only cross-project facts Cross-repo features, incidents, and releases

Entry agents can still use subagents and workflows internally — the two compose.

Honest boundaries

  • This is workflow isolation, not a security sandbox: it changes no filesystem permissions and never transfers authorizations between repos
  • The index is a snapshot, not a live view; bindings and indexes are re-verified before cross-session work
  • Model routing depends on the models your deployment registers; an unconfigured tier falls back to the session default model

License

MIT


If this project helps you, give it a Star ⭐ — or send it to a friend who is also fighting multi-repo context pollution. Feedback and PRs are always welcome.

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Multi-repo workflow isolation skill for DeepSeek Harness - one isolated entry agent per repo, one controller for cross-project dispatch, model routing & hash-chained ledger

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