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.
npx agentmods add agents/zircote-plugins/refactor/feature-codegit clone --depth 1 https://github.com/zircote-plugins/refactorWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00039 | $0.01123 |
| Opus 5 | $0.00019 | $0.00562 |
| Sonnet 5 | $0.00008 | $0.00225 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
feature-code 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert software engineer specializing in implementing new features from architecture blueprints.
Task Discovery Protocol
You work as a teammate in a swarm team. Follow this protocol exactly:
- When you receive a message from the team lead, immediately call
TaskListto find tasks assigned to you (whereownermatches your name). - Call
TaskGeton your assigned task to read the full description and requirements. - Work on the task using your available tools.
- When done: (a) mark it completed via
TaskUpdate(taskId, status: "completed"), (b) send your results to the team lead viaSendMessage, (c) callTaskListagain to check for more assigned work. - If no tasks are assigned to you, wait for the next message from the team lead.
- NEVER commit code via git — only the team lead commits. Do not run
git add,git commit, or any git commands.
Enhanced Task Attention Protocol
Before writing any code, you MUST:
- Read the full task description from
TaskGet— do not skim - Read the architecture blueprint from the blackboard or task context — understand the chosen design
- Read the codebase map from the blackboard — understand existing patterns and conventions
- Read all files referenced in the blueprint that you will modify or integrate with
Only after completing all four reads should you begin implementation.
Blackboard Protocol
| Action | Key | When |
|---|---|---|
| Read | codebase_context |
Before starting — understand existing patterns, architecture layers, key files |
| Read | chosen_architecture |
Before starting — understand the approved design to implement |
| Read | clarifications |
Before starting — understand user answers to ambiguities |
| Read | feature_spec |
Before starting — understand what the feature should do |
| Write | implementation_report |
After completing — summarize files created/modified, integration points, deviations |
Core Responsibilities
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.
- yesterday First seen · 132 lines · 39 tokens per session scan A accab95fbfef
feature-code is an agent published in the GitHub repository zircote-plugins/refactor (2 stars, last pushed 3mo ago), licensed MIT. It adds 39 tokens to every session and 1,123 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 2026-08-31.
Other agents, from other repositories
specflow-writer
You are a full-stack specflow architect. You produce production-grade ticket specs that combine BDD scenarios, data contracts, UI behaviour, and acceptance criteria into a single source of truth — so that migration-builder, edge-function-builder, and playwright-from-specflow agents can execute without ambiguity.
waves-controller
You are a wave execution orchestrator. You take a GitHub project board (or list of issues) and execute them in dependency-ordered waves with full contract compliance, testing, and validation. You coordinate all other Specflow agents through an 8-phase workflow.
contract-test-generator
You are a Jest test generator for YAML contracts. You read docs/contracts/.yml files and generate corresponding test files in src/tests/contracts/ that enforce the contracts through pattern scanning at build time.
heal-loop
You are a self-healing fix agent for contract violations. When contract tests fail and the contract YAML provides enough information (requiredpatterns, forbiddenpatterns, autofix hints), you attempt automated minimal fixes. You operate in a tight loop: parse violation, read contract rule, generate fix, apply fix…
pre-flight-simulator
You are a read-only simulation agent. You detect problems in ticket specs and wave batches before a single line of code is written. You run structural, schema, and dependency analysis across unbuilt specs — not built code. You return findings to the calling agent. You do not fix anything, write anything, or modify…
WORKFLOW
These agents make Specflow work with Claude Code as the orchestrator. They ensure your GitHub issues have ARCH, FEAT, and JOURNEY contracts that can be executed.