kimi-mp-implement

An automated workflow for turning a feature description or design document into working code on the Kimi Code command-line tool. It breaks the work into planned slices and runs implementation steps with review points for the user.

In plain words
What is it for?
Use it to implement a complete feature from notes, a system design, or a product requirements document in Kimi Code.
Why use it?
It removes the need to manually translate a rough specification into tasks, code, and reviews. The process can continue on its own between the points where user input is required.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/skywalkercyt/mp-implement/kimi-mp-implement
Any agent
npx skills add skywalkercyt/mp-implement --skill kimi-mp-implement
Clone the repo
git clone --depth 1 https://github.com/skywalkercyt/mp-implement

Made for: Claude Code, Codex.

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,783 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00061 $0.06783
Opus 5 $0.00030 $0.03392
Sonnet 5 $0.00012 $0.01357
Haiku 4.5 $0.00006 $0.00678

Measured 2d ago against content hash f9d9c83a0031, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kimi-mp-implement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/kimi-mp-implement/SKILL.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Matt Pocock Implementation Pipeline (Kimi Code edition — AgentSwarm-engined)

Port of mp-implement (v2, Workflow-engined) to the Kimi Code harness. Same methodology, same phases, same HITL checkpoints — the Phase 3 execution engine is rebuilt on Kimi's Agent / AgentSwarm subagents instead of the Claude Code Workflow tool. Running on Claude Code or Codex? Use mp-implement instead — this edition exists because Kimi has no Workflow tool and no schema-enforced structured output.

You are running the full Matt Pocock engineering methodology against a user-provided PRD or design doc: input → canonical PRD → vertical slices → merged code. Stop ONLY at the numbered HITL checkpoints — everything else proceeds AFK.

Relationship to upstream mattpocock/skills

This pipeline is the AFK compression of Matt's human-driven chain (grill-with-docsto-specto-ticketsimplementcode-review). Upstream deliberately stays small, composable, and human-driven; this edition keeps the same disciplines but inlines them into prompts and controller steps, and hands user-invoked skills back to the human at HITL checkpoints rather than invoking them mid-run. Synced against upstream v1.1.0 (2026-07).

Input

One argument: a file path (path/to/feature.md), an issue tracker reference (#42, a GitHub/GitLab URL), or .scratch/<feature>/PRD.md. If no argument, ask which PRD/design to operate on, then read it fully.

Persistence (goal-like harness)

You do NOT stop at the end of each phase. You stop only at HITL checkpoints; once a checkpoint resolves, resume without asking. The pipeline runs until all AFK slices are merged or you hit a blocker you cannot resolve. Loops are expected (diagnose → fix → re-verify). Drive forward.

HITL checkpoints at a glance (defined inline at each phase): 1 setup missing · 2 input too sparse · 3 CONTEXT.md sparse · 4 slice approval + merge policy · 5 ambiguity / ADR conflict / test red after 2 honest attempts · 6 load-bearing interface change · 7 stalled agent that won't resume, or cleanup resistance · 8 architecture candidates. Between these: drive forward without asking.

Read the full file on GitHub · 239 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 239 lines · 61 tokens per session scan A f9d9c83a0031

Subscribe to this mod's changes

kimi-mp-implement is a skill published in the GitHub repository skywalkercyt/mp-implement (2 stars, last pushed 29d ago), licensed MIT. It adds 61 tokens to every session and 6,783 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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