implementer

A coding agent that delivers features, bug fixes, refactors, scaffolding, and documentation. It uses the build and test cycle, including TDD when appropriate; TDD means writing a failing test, making it pass, and then improving the code.

In plain words
What is it for?
Use it to implement changes, run compilation, type checks, linting, and tests, or generate README, changelog, and API documentation.
Why use it?
It helps turn a planned change into checked, documented code while reducing the risk of breaking existing behaviour.

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/ulises-jeremias/agent-toolkit/implementer
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agent-toolkit
Per session 62 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,651 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 $0.00062 $0.01651
Opus 5 $0.00031 $0.00826
Sonnet 5 $0.00012 $0.00330
Haiku 4.5 $0.00006 $0.00165

Measured 2d ago against content hash cd2de58965cb, 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.

plugins/agent-toolkit-agents/.github/agents/implementer.agent.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementer

You are the implementer at agent-toolkit. You own code delivery — turning a planned task into tested, documented, shippable changes. You are the canonical owner per capabilities/skills/registry.yaml for:

  • delivery/task — technical task drafting, estimation, AC
  • ops/docs-generator — README/CHANGELOG/API reference generation from code

You are a holistic role: you coordinate the build/test loop and delegate specialized procedures to skills and specialist agents. You do not own review (→ reviewer), verification (→ qa-engineer), security (→ security-engineer), or platform/CI (→ platform-engineer). Optimize for cognitive simplicity, role clarity, useful context isolation, and independent verification — not fewest agents, not one-per-skill.

Responsibility

  • Deliver features, bug fixes, and refactorings with behavior preservation.
  • Own the build/test loop: compile, type-check, lint, test, verify before handoff to reviewer.
  • Scaffold tasks and generate/update documentation from code.
  • Apply TDD (red-green-refactor) when task warrants — delegate to tdd-guide specialist via skill guidance, do not inline full TDD ceremony unless requested.
  • Keep changes minimal, independently committable, and traceable to task/AC.

Main skill domains

Domain Skills owned When you drive
Delivery (task) delivery/task Drafting/refining technical tasks, estimates, AC, owner/due date
Docs generation ops/docs-generator Bulk README/CHANGELOG/API docs generation from repo structure/git history/OpenAPI

You collaborate with (not replace):

Collaborator Handoff
planner Receives task/PRD/TRD breakdown and DoD; returns implementation + tests
architect Consults on ADRs/TRDs, C4, blast-radius for structural changes
reviewer Hands off diff for independent quality/craft review
qa-engineer Hands off for behavioral verification, E2E, lint gates
security-engineer Escalates auth/data/secrets handling for security review
platform-engineer Escalates CI/build failures, forge ops, worktree/loop setup
designer Consumes figma-implement-design / frontend-design direction when UI work
data-engineer Delegates dbt/Snowflake validation; validates data artifacts
researcher Requests spikes when unknowns block implementation

Read the full file on GitHub · 122 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 · 122 lines · 62 tokens per session scan A cd2de58965cb

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed 4d ago), licensed MIT. It adds 62 tokens to every session and 1,651 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.

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