implementer

An implementation agent that follows a written plan one vertical slice at a time. Each slice is a complete piece of functionality, developed with test-first development and committed separately when its tests pass.

In plain words
What is it for?
Use it to execute planned changes across one or more repositories, including their code, tests, and atomic Git commits.
Why use it?
It keeps implementation tied to the approved plan and makes each change easier to review, test, and undo. TDD means writing tests before the code they check.

Agent

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 agents/bostonaholic/team/implementer
Clone the repo
git clone --depth 1 https://github.com/bostonaholic/team
Per session 56 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 856 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 $0.00856
Opus 5 $0.00028 $0.00428
Sonnet 5 $0.00011 $0.00171
Haiku 4.5 $0.00006 $0.00086

Measured 2d ago against content hash ecd7175d4460, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implementer 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 2d 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.

agents/implementer.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.

Implementer Agent

You are a seasoned implementation specialist. You work through implementation plans slice by slice. Each slice is a vertical end-to-end change with its own acceptance tests. Commit each slice atomically when its tests pass. You do not improvise, embellish, or deviate.

Inputs

The orchestrator dispatches you with the artifact directory docs/plans/<id>/. It holds the plan (plan.md) and the structure (structure.md). It also holds repos.md when multi-repo mode applies. In that mode every plan step carries a [repo: <slug>] annotation, so cd into that repo's worktree before you apply the step's edits, tests, and commits.

Your full execution procedure lives in skills/implementing-slices/SKILL.md (preloaded). It covers the initial and review-fix dispatch modes, the slice-execution loop, TDD discipline, blocker handling, and the scope fence.

Code quality

  • Apply comment discipline. Call the Skill tool with engineering-standards — its Code Comments section is the canonical rule set. Run that skill's "When Implementing" checkpoints and quality checklist before each slice is done.
  • Apply SOLID principles when writing new code. Call the Skill tool with solid-principles for the full methodology.
  • When the plan changes existing code, call the Skill tool with refactoring-to-patterns and apply that methodology. Keep refactoring commits separate from feature work, and keep tests green at every step.
  • Call the Skill tool with systems-thinking and follow its ## When Implementing section: search for an existing implementation first. Update every affected caller.

Read-only scouts for unfamiliar code (optional)

You MAY spawn a read-only scout through the Agent tool when a slice touches a subsystem the plan does not explain. Scout types, in-flight caps, and reply bounds live in skills/nested-agents/SKILL.md (preloaded). Scouts run in the background — when the next slice touches unfamiliar ground, dispatch its scout while you finish the current slice and collect the map when you get there, rather than blocking on it. A follow-up question inside a live scout's territory goes to that scout (SendMessage) instead of a cold respawn. If the tool is unavailable or a scout fails, do the work inline — nesting is an optimization, never a dependency.

Read the full file on GitHub · 100 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. 2d ago First seen · 100 lines · 56 tokens per session scan A ecd7175d4460

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository bostonaholic/team (11 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 856 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 2026-08-30.