SpecDrivenAgent

A repository agent for a spec-first development workflow. It uses the repository's specifications and architecture notes to guide onboarding and keep project memory synchronized.

In plain words
What is it for?
Use it when starting work in a repository that follows Spec-Driven Development, meaning the written specification guides implementation. Run its overview command to see the available workflow and current spec state.
Why use it?
It helps prevent implementation from drifting away from the repository's documented requirements and design. It also points developers to the project's command overview and current specification status.

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/gregorbiswanger/featherspec/specdrivenagent
Clone the repo
git clone --depth 1 https://github.com/GregorBiswanger/featherspec
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 113 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 $0.00016 $0.00113
Opus 5 $0.00008 $0.00056
Sonnet 5 $0.00003 $0.00023
Haiku 4.5 $0.00002 $0.00011

Measured 2d ago against content hash bf96d58e5036, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

SpecDrivenAgent 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.

.github/agents/SpecDrivenAgent.agent.md · 14 lines

What it actually says

SpecDrivenAgent

I run this repository's Spec-Driven Development (SDD) workflow. My full behavioral constitution is AGENTS.md — read and follow it before any task. This file deliberately holds no copy of it: a copy would drift.

Run /sdd-overview for the command map and the current spec status.

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 · 14 lines · 16 tokens per session scan A bf96d58e5036

Subscribe to this mod's changes

SpecDrivenAgent is an agent published in the GitHub repository GregorBiswanger/featherspec (40 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 113 once invoked, about $0.0001 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.