Governed execution layer for AI coding assistants: clarify intent, route capabilities, review evidence, verify results, and write back lessons across Claude Code, Codex, OpenClaw, and Cursor.
$ npx -y skills add KimYx0207/Meta_Kim --agent claude-code
Repo: KimYx0207/Meta_Kim
What's inside
Tell your coding agent what you want. Meta_Kim turns that request into a visible, reviewed, verifiable execution.
Meta_Kim is not a new model and it does not replace Claude Code or Codex. It adds the missing team layer around them: clarify the goal, find the right capabilities, split safe parallel work, review the result, verify the evidence, and preserve useful lessons for the next run.
You say: “Finish the sign-up and login flow. Keep existing users working, split frontend/backend/testing where useful, and tell me exactly what was verified.”
| What happens next | What you can see |
|---|---|
| The vague request becomes a goal, success criteria, and non-goals | What Meta_Kim understood before files change |
| Existing agents, skills, commands, tools, runtime support, and project evidence are checked | Why each capability and owner was selected |
| Independent work is split and coordinated when the host supports it | Who is working on product, frontend, backend, security, or testing |
| Review challenges the implementation; verification checks fresh evidence | Passed checks, failed checks, blockers, and remaining risk |
| Reusable lessons can be written back through a governed approval path | The next run starts with stronger capabilities instead of chat amnesia |
The default view is one execution graph: named sessions on the left, the run's dependency graph on the canvas, and an Inspector that holds secondary evidence when you open it. A four-column work board and a project/session repository view are one click away when you want work-item status or project facts instead of dependencies. Historical status-only records are labeled honestly; new runtime projections preserve conversation identity and richer work telemetry.
main| Upgrade | What changed |
|---|---|
| One Hub, many projects | One user-level loopback Hub lists explicitly registered Meta_Kim projects and sessions without scanning the disk. |
| Graph-first default view | One execution graph answers what depends on what, which stage is live, who owns each node, and what evidence exists — with stage progress, minimap, fit/follow/zoom, and replay on the same canvas. |
| Board and repository views | A four-column work board and a project/session repository view stay one click away for work-item status, ownership, active tool, and project facts. |
| Cross-runtime conversation identity | Claude Code, Codex, Cursor, and OpenClaw can attach supported conversation metadata to new run records; unsupported legacy records stay visibly unlinked. |
| Evidence-first and local | Missing telemetry stays visibly unavailable; the UI is loopback-only, has no third-party assets, and remains read-only by default. |
Done Sign-up, login, token refresh, and error states implemented
Changed 8 source files, 3 tests, 1 migration
Verified Unit 42/42 · integration 11/11 · build passed
Open OAuth browser acceptance was not run — credentials unavailable
Next Connect staging credentials, then replay the blocked check
That summary is backed by the changed project files and run evidence. Meta_Kim does not turn an unavailable check into a green result.
| You ask for | Typical deliverable |
|---|---|
| “Build this landing page” | Responsive frontend, interaction polish, screenshots, and browser checks |
| “Fix this difficult bug” | Reproduced cause, focused patch, regression test, and remaining-risk note |
| “Review this pull request” | Plain-language verdict, safe fixes, CI evidence, and merge recommendation |
| “Turn this idea into a product” | Prioritized PRD, chosen first slice, implementation, and acceptance evidence |
The coding runtime still does the domain work. Meta_Kim makes the route, ownership, review, and proof explicit around it.
Install Meta_Kim:
npx --yes github:KimYx0207/Meta_Kim meta-kim
Open your project in Claude Code or Codex and ask normally. You do not need to memorize a command:
Review this project, fix the three highest-impact problems,
use parallel work where it is safe, and verify the final result.
See the run. The first governed request lazily starts one local Live Hub and returns the current graph link in the conversation. The manual recovery command remains:
meta-kim live
Good first requests include building a feature across frontend/backend/tests, investigating and fixing a difficult bug, reviewing and improving a pull request, turning a product idea into a PRD and first implementation, or preparing a change for release without hiding failed checks.
In one sentence: Claude Code and Codex are the hands; Meta_Kim is the team structure, quality control, and evidence trail around those hands.
Meta_Kim is not another AI coding tool. It is a governance layer for durable AI coding work.
Meta_Kim Live turns durable run records into a local Proof-Carrying Run Graph. One user-level Hub lists explicitly registered Meta_Kim projects, then lets you choose a Session / Run and inspect its stages, owners, evidence, uncertainty, and replay. It never scans the whole disk, reads raw Codex or Claude Code conversations, replaces the agent, creates a second scheduler, or pretends an unverified node is done.
The Hub opens in Chinese by default; use the EN switch in the top-right corner for English. The preference is remembered locally. A marker-backed project joins the catalog when you explicitly open Live for it or start its first governed run, while an existing explicit skip is preserved.
meta-kim live
The Hub binds only to 127.0.0.1, loads no third-party assets, and reuses one process through a PID, process-start identity, and instance-health proof; first use after an update safely replaces an older Hub version. The default surface is read-only; guarded controls are opt-in only with --enable-control and a complete injected authority loadout (durable repository, lease/fence/effect checks, control token, and capable adapter). Without that complete authority chain, the service remains plan-only and fail-closed. Selecting and reopening an observed run is available now; automatic execution resume and cross-runtime handoff remain separate capabilities that require lease/fence and side-effect safety evidence.
meta-kim live can expose a deterministic local share artifact and replay view. JSON export, PR-card copy (from /api/share?format=markdown), and README embed (from /api/share?format=readme, rendered by the canonical safe renderer) stay on the local machine; there is no upload path. Content-bound SHA-256 is recomputed from canonical content, and the artifact never republishes secrets, absolute paths, raw prompts/outputs, or environment data.--enable-control only when the local service explicitly advertises every pause, resume, reassign, and handoff capability and supplies the complete injected authority chain. Commands are authority-bound and fail closed without the durable repository/lease/fence/adapter chain; a request being accepted is not presented as execution success.meta-kim/live-sdk (source: src/sdk/live/index.mjs) is projection-only for runtime adapters, evidence cards, and replay themes. It has no runtime authority and does not claim live-certified status.Runtime support is intentionally tiered: Claude/Codex are the primary targets; ZCode, DeepSeek Harness, Qoder, and Trae are beta/compatibility paths; OpenClaw and Cursor remain compatibility-only until native adapter evidence exists. Missing adapters fail closed, and this surface is not a live-certified claim.
The hard part of AI coding is no longer getting a model to change files. The hard part is deciding what should happen first, which capability should own it, what evidence proves it worked, and how the lesson survives the next run.
Claude Code, Codex, OpenClaw, and Cursor are all hands: they can write code and change files. But who decides which file to change first? Who reviews the result? Who fixes the problems that show up? And how do we make sure the same mistake does not repeat next time?
Meta_Kim is built for that. It is the governance layer above the coding hands: a runnable set of agents, skills, contracts, hooks, scripts, and evidence gates that keeps complex work from turning into a mess.
First clarify what needs to happen -> then decide who should do it -> review after execution -> preserve what was learned -> feed that back into the next run.
This is not a new concept. Mature engineering teams already do this. Meta_Kim turns it into a runnable system instead of relying on human discipline alone.
| Without Meta_Kim | With Meta_Kim |
|---|---|
| One giant chat response tries to do everything | Work is routed through intent, capability, owner, review, verification, and writeback |
| A tool is chosen because it is available | A capability is selected because it fits the task, runtime, OS, dependency, and risk |
| Passing commands get mistaken for success | Evidence is checked against the user's real goal |
| Good fixes disappear into chat history | Reusable lessons become governed skills, agents, scripts, contracts, or run-scoped tasks |
FAQ
meta-kim is a Claude Code plugin with 2 hand-picked skills for development work, indexed on Flowy. Install it with the command on its page. It includes meta-theory, same-set-reusable-flow-for-project-file-inventor. Its skills do not fire on their own yet. Request auto-invocation to have Flowy route them as you prompt. Free and open source.
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