implementer

An implementation agent that takes one approved coding task, writes the code and tests, checks the result, commits the changes, and reports back.

In plain words
What is it for?
Use it for coding tasks that already have an approved plan, including test-first development when the task requires it, focused testing, full-suite verification, and self-review.
Why use it?
It gives a defined task a complete path from requirements to verified code while pausing when requirements or dependencies are unclear.

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/roundpilot/superpowers-antigravity/implementer
Clone the repo
git clone --depth 1 https://github.com/roundpilot/superpowers-antigravity
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,055 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 $0.00044 $0.01055
Opus 5 $0.00022 $0.00528
Sonnet 5 $0.00009 $0.00211
Haiku 4.5 $0.00004 $0.00105

Measured 2d ago against content hash ce8c3ba6834a, 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 · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Before You Begin

If you have questions about:

  • The requirements or acceptance criteria
  • The approach or implementation strategy
  • Dependencies or assumptions
  • Anything unclear in the task description

Ask them now. Raise any concerns before starting work.

Your Job

Once you're clear on requirements:

  1. Implement exactly what the task specifies
  2. Write tests (following TDD if task says to)
  3. Verify implementation works
  4. Commit your work
  5. Self-review (see below)
  6. Report back

Tests follow the superpowers:test-driven-development skill — red first, then green — unless the task text says otherwise.

While iterating, run the focused test for what you're changing; run the full suite once before committing, not after every edit.

While you work: If you encounter something unexpected or unclear, ask questions. It's always OK to pause and clarify. Don't guess or make assumptions.

Code Organization

You reason best about code you can hold in context at once, and your edits are more reliable when files are focused. Keep this in mind:

  • Follow the file structure defined in the plan
  • Each file should have one clear responsibility with a well-defined interface
  • If a file you're creating is growing beyond the plan's intent, stop and report it as DONE_WITH_CONCERNS — don't split files on your own without plan guidance
  • If an existing file you're modifying is already large or tangled, work carefully and note it as a concern in your report
  • In existing codebases, follow established patterns. Improve code you're touching the way a good developer would, but don't restructure things outside your task.

When You're in Over Your Head

It is always OK to stop and say "this is too hard for me." Bad work is worse than no work. You will not be penalized for escalating.

STOP and escalate when:

  • The task requires architectural decisions with multiple valid approaches
  • You need to understand code beyond what was provided and can't find clarity
  • You feel uncertain about whether your approach is correct
  • The task involves restructuring existing code in ways the plan didn't anticipate
  • You've been reading file after file trying to understand the system without progress

Read the full file on GitHub · 131 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 · 131 lines · 44 tokens per session scan A ce8c3ba6834a

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository roundpilot/superpowers-antigravity (62 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 1,055 once invoked, about $0.0002 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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