implement

implement is a command for Claude Code from ThibautBaissac/rails_ai_agents. It costs 25 tokens per session (733 once invoked), scanned A, original, MIT.

A command that carries out the unfinished tasks listed in a project’s tasks.md file, one after another. It expects the project’s specification and task files to already exist.

In plain words
What is it for?
Applying a prepared change plan, reading its specification and task list, and completing the remaining implementation tasks sequentially.
Why use it?
It provides a direct way to implement a small, predefined change without adding subagents, hooks, or extra checklists. It also checks that the required project files are present before starting.

Command for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Good fit Applying a prepared change plan, reading its specification and task list, and completing the remaining implementation tasks sequentially.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/thibautbaissac/rails_ai_agents/implement
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.

Clone the repo
git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents

Made for: Claude Code.

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

README.md
[![agentmods](https://agentmods.dev/badge/commands/thibautbaissac/rails_ai_agents/implement/github.svg)](https://agentmods.dev/commands/thibautbaissac/rails_ai_agents/implement)
Your own site
<a href="https://agentmods.dev/commands/thibautbaissac/rails_ai_agents/implement"><img src="https://agentmods.dev/badge/commands/thibautbaissac/rails_ai_agents/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 implement

Your own site · 80×15
<a href="https://agentmods.dev/commands/thibautbaissac/rails_ai_agents/implement"><img src="https://agentmods.dev/badge/commands/thibautbaissac/rails_ai_agents/implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 733 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 $0.00025 $0.00733
Opus 5.5 $0.00010 $0.00293
Sonnet 5.5 $0.00005 $0.00147
Haiku 4.5 $0.00003 $0.00073

Measured 2mo ago against content hash fbef15a7810c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 2mo 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.

.claude/commands/sdd-change/implement.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

  1. Locate feature directory: Run .specify/scripts/bash/check-prerequisites.sh --json --paths-only from repo root. Parse JSON for FEATURE_DIR, FEATURE_SPEC, and TASKS paths. For single quotes in args, use escape syntax: e.g 'I'''m Groot' (or double-quote if possible).

  2. Validate artifacts exist:

    • Check that FEATURE_DIR/spec.md exists. If not: "Run /sdd-change:specify first."
    • Check that FEATURE_DIR/tasks.md exists. If not: "Run /sdd-change:tasks first."
  3. Load context:

    • REQUIRED: Read spec.md (the change spec — Problem, Proposed Change, Acceptance Criteria)
    • REQUIRED: Read tasks.md (the flat task list)
    • IF EXISTS: Read .specify/memory/constitution.md to respect project principles
    • IF EXISTS: Read .specify/memory/lessons-learned.md — filter to entries tagged [phase:implement] or [phase:all] and note any relevant to the current change
  4. Execute tasks sequentially:

    • Parse all uncompleted tasks (- [ ] items) from tasks.md
    • For each task:
      • Execute the task as described (create, modify, or update files)
      • Follow Rails conventions and the project's architecture (skinny controllers, services for business logic, normalization-only callbacks)
      • Mark the task as [X] in tasks.md immediately after completion
      • Report brief progress: task ID and what was done
    • If a task fails:
      • Provide clear error context (what failed and why)
      • Log the error to .specify/memory/lessons-learned.md if it represents a reusable learning (create the file with its standard header if it does not exist)
      • Halt execution and suggest next steps for manual resolution
  5. Final validation:

    • Run bundle exec rspec and report results
    • Run bundle exec rubocop -a and report results
    • If either fails: attempt to fix the issues and re-run (max 2 attempts)
    • If still failing after retries: report the remaining issues for manual resolution

Read the full file on GitHub · 66 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. 2mo ago First seen · 66 lines · 25 tokens per session scan A fbef15a7810c

Subscribe to this mod's changes

implement is a command published in the GitHub repository ThibautBaissac/rails_ai_agents (672 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 733 once invoked, about $0.0001 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 2026-08-30.

Related

implement compared with commands from other repositories

implement next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
implementThibautBaissac/rails_ai_agentsCommand6725mo agoMITA25Claude Code
checklistgithub/spec-kitCommand148kyesterdayMITA13Claude Code
clarifygithub/spec-kitCommand148kyesterdayMITA27Claude Code
specifygithub/spec-kitCommand148kyesterdayMITA13Claude Code
analyzegithub/spec-kitCommand148kyesterdayMITA26Claude Code
convergegithub/spec-kitCommand148kyesterdayMITA35Claude Code
implementgithub/spec-kitCommand148kyesterdayMITA14Claude Code