implement

implement is a skill for Claude Code, Codex from odarino/haren. It costs 12 tokens per session (602 once invoked), scanned A, original, MIT.

A workflow for implementing the features in a module’s plan one at a time. It reads the project context and progress files, then guides development, testing, commits, and status updates.

In plain words
What is it for?
Use it to select the next pending feature, implement it with test-driven development, commit the code, record the session, and mark the feature ready for evaluation.
Why use it?
It keeps implementation work aligned with the approved plan and makes each feature’s progress and decisions traceable.

Skill for Claude CodeCodex

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/odarino/haren/implement
Any agent
npx skills add odarino/haren --skill implement
Clone the repo
git clone --depth 1 https://github.com/odarino/haren

Made for: Claude Code, Codex.

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/skills/odarino/haren/implement.svg)](https://agentmods.dev/skills/odarino/haren/implement)
Your own site
<a href="https://agentmods.dev/skills/odarino/haren/implement"><img src="https://agentmods.dev/badge/skills/odarino/haren/implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 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 $0.00012 $0.00602
Opus 5 $0.00006 $0.00301
Sonnet 5 $0.00002 $0.00120
Haiku 4.5 $0.00001 $0.00060

Measured 3d ago against content hash 32ff064d6138, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

content/skills/implement/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement

Execute the implementation plan for a module, one feature at a time.

Pre-Implementation (every session)

  1. Run read-context skill to orient
  2. Read tasks from the active plan path (see skill.md Plan Paths convention)
  3. Read progress.json to find current feature status
  4. Read artifacts/05-implementation/{module}/task-{N}-{slug}.md if it exists for the target feature (previous session context)
  5. If iterations enabled, also read the master plan path for broader module context if needed
  6. Pick the highest-priority feature in "pending" status

Implementation Loop

For each feature:

  1. Update feature status to "in-progress" via update-tracking skill
  2. Delegate to superpowers:subagent-driven-development:
    • Pass the full task description from tasks.md
    • Pass the design context from design.md
    • Ensure TDD discipline via superpowers:test-driven-development
  3. After implementation:
    • Commit code in the target repo with descriptive message
    • Update feature status to "evaluating" via update-tracking skill
    • Append to task session log (task-{N}-{slug}.md): what was done, decisions made, any deviations from plan
    • Emit "feature-ready" event to events/events.jsonl

Session Log

Each task gets its own session log file under artifacts/05-implementation/{module}/:

  • Convention: task-{number}-{slug}.md where slug matches the feature key in progress.json
  • Examples: task-1-scaffold.md, task-2-sync-skills-api.md, task-5-analytics.md
  • This allows parallel development — each developer owns their task file with no merge conflicts

If iterations are enabled (check manifest.yaml for iterations block), include the Iteration: field in session log header with the value of currentIteration from progress.json. If not enabled, omit it.

## Session {date} {time}

### Working on: {feature-name}
- Key decisions made and why
- Files created/modified
- Commit hash
- Any deviations from the plan

### Next up
{next feature or "all features complete"}

Read the full file on GitHub · 69 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 · 69 lines · 12 tokens per session scan A 32ff064d6138

Subscribe to this mod's changes

implement is a skill published in the GitHub repository odarino/haren (11 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 602 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.

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