speckit.specify

A command that turns a user's feature idea into a written specification saved as spec.md. A specification describes expected behavior, user scenarios, and testable success conditions.

In plain words
What is it for?
Use it to define a feature's requirements and create the feature directory record used by later planning commands.
Why use it?
It gives development work a shared, checkable description before implementation begins.

Command

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 commands/github/spec-kit/speckit.specify
Clone the repo
git clone --depth 1 https://github.com/github/spec-kit
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 143 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 $0.00010 $0.00143
Opus 5 $0.00005 $0.00072
Sonnet 5 $0.00002 $0.00029
Haiku 4.5 $0.00001 $0.00014

Measured 2d ago against content hash 9d68997ce418, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

speckit.specify 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.

presets/lean/commands/speckit.specify.md · 24 lines

What it actually says

User Input

$ARGUMENTS

Outline

  1. Ask the user for the feature directory path (e.g., specs/my-feature). Do not proceed until provided.

  2. Create the directory and write .specify/feature.json:

    { "feature_directory": "<feature_directory>" }
    
  3. Create a specification from the user input and store it in <feature_directory>/spec.md.

    • Overview, functional requirements, user scenarios, success criteria
    • Every requirement must be testable
    • Make informed defaults for unspecified details
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 · 24 lines · 10 tokens per session scan A 9d68997ce418

Subscribe to this mod's changes

speckit.specify is a command published in the GitHub repository github/spec-kit (132,298 stars, last pushed 4d ago), licensed MIT. It adds 10 tokens to every session and 143 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.

Related

Other commands, from other repositories