loop-implement

loop-implement is a skill for Claude Code from choiyounggi/dev-loop. It costs 94 tokens per session (5,041 once invoked), scanned A, original, MIT.

A single implementation workflow that plans a change using documented guidance, then executes the resulting ordered tasks. It writes tests first, uses an independent test-quality review, and retries after reflecting on failures.

In plain words
What is it for?
Implementing features, bug fixes, logic changes, and behavior-changing refactors through a planned, test-first workflow.
Why use it?
It provides a repeatable path from a feature or bug report to tested code, with explicit checks when the first attempt is not good enough.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dev-loop plugin — 9 skills, 11 agents, 6 hooks, 1 MCP server shipped together

Good fit Implementing features, bug fixes, logic changes, and behavior-changing refactors through a planned, test-first workflow.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add choiyounggi/dev-loop
Claude Code
/plugin install dev-loop

Made for: Claude Code.

Or install dev-loop, the plugin that ships this one along with the rest of its 9 skills, 11 agents, 6 hooks, 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 loop-implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/choiyounggi/dev-loop/loop-implement/github.svg)](https://agentmods.dev/skills/choiyounggi/dev-loop/loop-implement)
Your own site
<a href="https://agentmods.dev/skills/choiyounggi/dev-loop/loop-implement"><img src="https://agentmods.dev/badge/skills/choiyounggi/dev-loop/loop-implement/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for loop-implement

Your own site · 80×15
<a href="https://agentmods.dev/skills/choiyounggi/dev-loop/loop-implement"><img src="https://agentmods.dev/badge/skills/choiyounggi/dev-loop/loop-implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,041 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00094 $0.05041
Opus 5.5 $0.00038 $0.02016
Sonnet 5.5 $0.00019 $0.01008
Haiku 4.5 $0.00009 $0.00504

Measured yesterday against content hash 26dc1bdfc3d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

loop-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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/gate-check.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/loop-implement/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

loop-implement — the single implementation loop, driven by a wiki-plan

Drive work to "done" through a closed, methodology-grounded loop (sources at the bottom). This is dev-loop's one and only implementation skill — it both plans (via wiki-plan, step 2) and executes, so there is no separate executor. The plan wiki-plan produces is not a loose sketch: it fixes an ordered task list and, for each task, navigates to the exact wiki pages that ground it (the decision→page map). This loop consumes that plan directly — executing the tasks in the plan's order, loading exactly the wiki pages each task names, and citing them — so every change traces back to a verified wiki page.

It works the same whether it runs standalone (you produce the plan here in step 2) or as an orchestrated worker (the orchestrator hands you a task brief and the plan it already produced, and you adopt and implement it here). Either path, one loop.

When to use

  • Use: logic changes, new features, bug fixes, behavior-changing refactors.
  • Skip: typos, config values, simple rename/import cleanup, one-line edits.

Two entry modes (both run the SAME loop)

  • A plan already exists (a plans/<feature>/ from a prior wiki-plan run, or handed to you by the orchestrator): skip producing one — execute its tasks in the ## Task order sequence, one at a time, each through steps 0 and 3–7 below, loading that task's named wiki pages.
  • No plan yet (a fresh standalone task): step 2 runs wiki-plan first to produce the ordered, wiki-navigated plan, then you execute it the same way.

The plan step is fixed (not pluggable)

Step 2 (Plan) is hardwired to the bundled wiki-plan skill and is mandatory for every non-trivial task — it is not a pluggable role and cannot resolve to inline planning. wiki-plan grounds each design decision in the bundled wiki/ semantic layers before any code is written, so the implementing pass executes decisions instead of guessing them. See step 2 below.

Read the full file on GitHub · 346 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. yesterday Changed · +2 lines 26dc1bdfc3d9
  2. 8d ago Changed · +1 lines 8185e6d97af1
  3. 10d ago Changed · +2 lines 2ae2513bee6a
  4. 29d ago Changed · +21 lines ca6584a1f867
  5. 1mo ago Changed · +5 lines d40d6f17c756
  6. 1mo ago Changed · +12 lines c91ce75331fe
  7. 1mo ago Changed · +21 lines 1c499fd22cdd
  8. 1mo ago First seen · 282 lines · 94 tokens per session scan A 5a0f4d10d07a

Subscribe to this mod's changes

loop-implement is a skill published in the GitHub repository choiyounggi/dev-loop (6 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 5,041 once invoked, about $0.0004 per session on Opus 5.5. 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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