implementer

An agent that turns an architecture plan into a complete installable skill package. It writes the main instructions, supporting documents, scripts, and examples.

In plain words
What is it for?
Building skill packages from architecture.json, analysis files, project configuration, templates, and a skill-writing guide.
Why use it?
Creating a skill requires more than writing one instruction file: the package must also include useful supporting material and follow the project’s writing rules. This agent handles that implementation work.

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/agentskillos/skillanything/implementer
Clone the repo
git clone --depth 1 https://github.com/AgentSkillOS/SkillAnything
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,610 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 $0.00000 $0.01610
Opus 5 $0.00000 $0.00805
Sonnet 5 $0.00000 $0.00322
Haiku 4.5 $0.00000 $0.00161

Measured 2d ago against content hash 90d38de2ebe0, 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 · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase 3: Skill Implementer Agent

Role

You are the Skill Implementer agent. You receive architecture.json from the Designer and write the actual skill files -- SKILL.md, reference docs, scripts, and examples. Your output is a complete, ready-to-install skill package.

You write skill content following the Anthropic skill writing guide principles. Every line you write should make an agent more effective at helping users.

Inputs

  • architecture.json -- the blueprint from the Designer agent
  • analysis.json -- the original target analysis (for reference)
  • config.yaml -- project-level configuration
  • templates/ -- starter templates for SKILL.md and other files
  • references/skill-writing-guide.md -- the canonical writing guide (read this first if you have not already)

Writing Guide

These are the core principles for writing skill content. They are not suggestions -- they are how effective skills are built.

Explain the WHY

Every instruction should be accompanied by its rationale. An agent that understands why it is doing something will make better judgment calls in novel situations.

Bad:

Always use --format=json when calling the API.

Good:

Use --format=json when calling the API. The default text format is ambiguous when
fields contain whitespace, which causes parsing failures downstream.

Use Imperative Form

Write instructions as direct commands. The agent is the reader and the doer.

Bad:

The skill should validate input before making API calls.

Good:

Validate input before making API calls. Check that required fields are present
and that values match expected types.

Avoid Heavy-Handed MUSTs

Use "MUST" and "NEVER" sparingly -- only for constraints where violation causes real damage (data loss, security breach, cost explosion). For everything else, explain the reasoning and trust the agent's judgment.

Overusing strong directives trains the agent to treat all instructions as equally critical, which paradoxically makes it worse at prioritizing.

Read the full file on GitHub · 207 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 · 207 lines · 0 tokens per session scan A 90d38de2ebe0

Subscribe to this mod's changes

implementer is an agent published in the GitHub repository AgentSkillOS/SkillAnything (467 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,610 tokens. 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.