impl

impl is a command for coding agents from MarioEpkOne/PipelineIQ. It costs 0 tokens per session (3,086 once invoked), scanned A, original, MIT.

An implementation command that follows an existing step-by-step plan, verifies the work, records a working log, and asks whether to commit.

In plain words
What is it for?
Use it to run an implementation plan from the main repository or its separate worktree, a directory used to isolate changes.
Why use it?
It turns an approved plan into a repeatable execution process and keeps a record of what happened.

Command

Part of the pipelineiq plugin — 10 commands, 6 agents shipped together

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/marioepkone/pipelineiq/impl
Clone the repo
git clone --depth 1 https://github.com/MarioEpkOne/PipelineIQ

Or install pipelineiq, the plugin that ships this one along with the rest of its 10 commands, 6 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for impl

README.md
[![agentmods](https://agentmods.dev/badge/commands/marioepkone/pipelineiq/impl.svg)](https://agentmods.dev/commands/marioepkone/pipelineiq/impl)
Your own site
<a href="https://agentmods.dev/commands/marioepkone/pipelineiq/impl"><img src="https://agentmods.dev/badge/commands/marioepkone/pipelineiq/impl.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,086 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 $0.00000 $0.03086
Opus 5 $0.00000 $0.01543
Sonnet 5 $0.00000 $0.00617
Haiku 4.5 $0.00000 $0.00309

Measured 3d ago against content hash aad740dfd0c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

impl 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 3d 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.

commands/impl.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EXECUTE PLAN — reads an existing implementation plan and runs all steps autonomously, verifies each step, writes a working log, and prompts to commit.

The user's request is: $ARGUMENTS

Can be run from the main repo or from inside the worktree directory. If the plan has a **Worktree:** header, the skill automatically resolves and uses that worktree as its working root.

Process

Phase 1 — Find the Implementation Plan

Search Implementation Plans/ (relative to the current working directory) for a file whose name contains the argument (case-insensitive).

  • If multiple matches: list them and ask the user to pick one.
  • If no match: tell the user to run /impl-plan first and exit.
  • If no argument was provided: list all impl plans in Implementation Plans/ and ask the user which one to execute.

Read the full implementation plan.

Phase 2 — Verify Worktree

Read the **Worktree:** field from the plan header.

  • No worktree field in the plan: proceed from the current working directory.
  • Worktree field present, CWD already ends with that slug: proceed normally.
  • Worktree field present, CWD is the main repo: resolve the absolute path of the worktree (the field value is relative to the main repo root, e.g. .claude/worktrees/my-feature/). Check whether <worktree_abs_path>/Implementation Plans/<same-filename> exists — if it does, re-read the plan from there (the worktree copy may differ from the main repo copy, so prefer it). Whether or not a worktree copy exists, use <worktree_abs_path> as the working root for all subsequent file reads, writes, and relative path references in this session. Do not exit — continue with the next phase.

Phase 3 — Read Reading List (and optionally learnings.md)

Read every file listed in the plan's Reading list section, in order.

Do not read any other files unless a specific step explicitly requires it and explains why.

Optional — learnings.md: If learnings.md exists in the project root and the task involves an area with known gotchas, skim it for relevant entries. Treat them as risks to watch for, not hard rules.

Read the full file on GitHub · 160 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. 3d ago First seen · 160 lines · 0 tokens per session scan A aad740dfd0c3

Subscribe to this mod's changes

impl is a command published in the GitHub repository MarioEpkOne/PipelineIQ (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,086 tokens. 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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