implement-feature

implement-feature is a skill for Claude Code, Codex from rordi-ai/loopbreaker. It costs 56 tokens per session (1,172 once invoked), scanned A, original, MIT.

A guided implementation workflow for turning an approved behavior contract into working code. It keeps the work tied to named behaviors and planned work units.

In plain words
What is it for?
It is for starting, continuing, or repairing a feature while checking repository instructions, production wiring, current changes, and project-native verification.
Why use it?
It prevents coding from silently changing the agreed requirements and stops implementation when required planning or approval is missing.

Skill for Claude CodeCodex

Part of the loopbreaker plugin — 7 skills, 1 agent, 1 MCP server 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 skills/rordi-ai/loopbreaker/implement-feature
Any agent
npx skills add rordi-ai/loopbreaker --skill implement-feature
Clone the repo
git clone --depth 1 https://github.com/rordi-ai/loopbreaker

Made for: Claude Code, Codex.

Or install loopbreaker, the plugin that ships this one along with the rest of its 7 skills, 1 agent, 1 MCP server.

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 implement-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/rordi-ai/loopbreaker/implement-feature.svg)](https://agentmods.dev/skills/rordi-ai/loopbreaker/implement-feature)
Your own site
<a href="https://agentmods.dev/skills/rordi-ai/loopbreaker/implement-feature"><img src="https://agentmods.dev/badge/skills/rordi-ai/loopbreaker/implement-feature.svg" alt="Measured on agentmods" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,172 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 $0.00056 $0.01172
Opus 5 $0.00028 $0.00586
Sonnet 5 $0.00011 $0.00234
Haiku 4.5 $0.00006 $0.00117

Measured 4d ago against content hash f017746ddd15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement-feature 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 4d 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/implement-feature/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement Feature

Make the frozen behavior contract true. Implementation may choose the design inside that boundary; it may not silently change the boundary.

Preflight

  1. Bind the active issue first: loopbreaker link ISSUE. The admission hook is keyed to that binding — without it the gate is inert and pre-admission edits are silently allowed. This is the single easiest way to appear gated while being ungated.
  2. Call delivery_readiness. Stop unless discovery is satisfied, shape is ready, planning is ready, and planning_review.approved plus implementation.admitted are true.
  3. Call review_substrate for the issue and return the exact active gate when held.
  4. Confirm the requested work maps to named behavior IDs and planning work units.
  5. Read repository instructions and the production construction path.
  6. Inspect current status and preserve unrelated worktree changes.

If the issue is held at discovery, stop and use $discovery-interview; the premise is not yours to author. If there is no imported contract or planning profile, stop and use $plan-feature. If planning is structurally ready but not independently approved, use $review-planning; never self-approve from this skill. If the requested change would add acceptance requirements, report the scope change instead of coding it as an incidental improvement.

Execution: harness first, then code

Evidence is executed, never asserted. You cannot record a verdict; you can only run a registered harness and let its exit code decide. review_record_evidence still exists for supporting observations, but evidence recorded that way is marked not-executed and will not verify an enforced behavior.

For each behavior, in this order:

  1. Write its harness before the implementation. Drive the behavior at the tier its contract names — a real CLI/HTTP/subprocess boundary for wired, a real deployed target for live. The repository may have no test tooling at all; if so, standing that tooling up is part of the work, not a reason to skip it.
  2. Register it in harnesses.json with id, tier, runner, target, and a proves list naming this behavior. runner: "script" executes the target directly, so any toolchain works — bun, pytest, a shell script. The registry is a reviewed file; that is what keeps prove from being arbitrary execution.
  3. Bind it: loopbreaker bind BEHAVIOR --harness ID. Both directions must agree — the behavior names the harness and the entry names the behavior back.
  4. Prove it RED through the gate: loopbreaker prove BEHAVIOR. It must fail before the code exists. A harness that is green before the work proves nothing.

Read the full file on GitHub · 100 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. 4d ago First seen · 100 lines · 56 tokens per session scan A f017746ddd15

Subscribe to this mod's changes

implement-feature is a skill published in the GitHub repository rordi-ai/loopbreaker (3 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 1,172 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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