coder-eval-implement-plan

A command for carrying out an approved, multi-phase coding plan, checking each phase as it is completed and reviewing the finished change.

In plain words
What is it for?
Use it to implement complex plans phase by phase, run scoped tests and reviews, and perform a final review of the complete change.
Why use it?
It keeps implementation tied to agreed changes, edge cases, tests, and acceptance checks instead of requiring the developer to reconstruct the plan while coding.

Command for Claude Code

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 commands/uipath/coder_eval/coder-eval-implement-plan
Clone the repo
git clone --depth 1 https://github.com/UiPath/coder_eval

Made for: Claude Code.

Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,576 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 $0.00022 $0.04576
Opus 5 $0.00011 $0.02288
Sonnet 5 $0.00004 $0.00915
Haiku 4.5 $0.00002 $0.00458

Measured yesterday against content hash d7af5892aed2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coder-eval-implement-plan 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 yesterday.

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.

.claude/commands/coder-eval-implement-plan.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

  • Current git status: !git status --short
  • Current branch: !git branch --show-current
  • Recent commits: !git log --oneline -5

Implement Plan

Implement an approved plan produced by /coder-eval-create-plan phase by phase, verifying and reviewing each phase before moving on, then run one cross-cutting review of the whole change. The plan is your contract: it carries, per phase, a Risk tag, Changes, Edge Cases, Tests to Write, Tests to Run (scoped commands), and Acceptance Criteria, plus a global Master Acceptance Checklist, Patterns to Mirror (real code snippets), and a Confidence Score. Drive off those — do not re-derive what the plan and CLAUDE.md already specify. The plan path is: $ARGUMENTS

If no plan path was provided, ask for one.

When to use this

This command is for multi-phase plans where phases build on each other and the cost of a wrong turn is high. For a single trivial change (one file, a rename, a typo, a one-line fix), skip the ceremony below — make the change, run the relevant scoped test, and stop. Do not spawn review sub-agents for work a human would eyeball in ten seconds. (If the plan's Confidence Score is below 7, stop — per /coder-eval-create-plan it isn't ready; surface that instead of implementing.)

The loop

Everything below expands this core loop. Hold it in your head:

pre-flight (understand plan + Patterns to Mirror, learn conventions, capture <start-sha>, build task list + findings file)
for each phase, in order:
    implement   → write the phase's "Tests to Write" first for new behaviour, then the code
    verify      → Stage 1: the phase's "Tests to Run" + scoped lint must pass
    review      → Stage 2: spec-compliance, then (risk-scaled) quality
    commit      → conventional message with a progress counter
final review of the whole change → fix → tick Master Acceptance Checklist → summary

Complete one phase fully before starting the next. Stay within the plan's scope — do not refactor or extend beyond what it specifies.

Read the full file on GitHub · 233 lines

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. yesterday First seen · 233 lines · 22 tokens per session scan A d7af5892aed2

Subscribe to this mod's changes

coder-eval-implement-plan is a command published in the GitHub repository UiPath/coder_eval (119 stars, last pushed 3d ago), licensed Apache-2.0. It adds 22 tokens to every session and 4,576 once invoked, about $0.0001 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 2026-08-30.