spec-driven

A skill for implementing software features directly from written specifications.

In plain words
What is it for?
Use it when working from a feature spec, especially to follow its data model, API details, tests, and scope.
Why use it?
It keeps implementation focused on the requested requirements and limits changes to the files named by the specification.

Skill for Claude CodeCodexCursor

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 skills/seeker71/coherence-network/spec-driven
Any agent
npx skills add seeker71/Coherence-Network --skill spec-driven
Clone the repo
git clone --depth 1 https://github.com/seeker71/Coherence-Network

Made for: Claude Code, Codex, Cursor.

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 277 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 $0.00042 $0.00277
Opus 5 $0.00021 $0.00138
Sonnet 5 $0.00008 $0.00055
Haiku 4.5 $0.00004 $0.00028

Measured 2d ago against content hash 79d30d636c6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

spec-driven 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.

.cursor/skills/spec-driven/SKILL.md · 32 lines

What it actually says

Spec-Driven Implementation

Quick Start

  1. Read the specspecs/NNN-feature-name.md or the spec referenced in the task
  2. Implement only what it says — no extra features, no adjacent refactors
  3. Modify only listed files — see "Files to Create/Modify" in the spec
  4. Do not change tests — fix implementation, not tests

Constraints

  • Only modify files listed in the spec's "Files to Create/Modify" section
  • Do not add docs, READMEs, or refactors unless the spec requires them
  • Only escalate with needs_decision when truly stuck after research; prefer fixing in-scope
  • Follow API Contract and Data Model from the spec exactly

Spec Format Reference

Specs follow specs/TEMPLATE.md:

  • Purpose, Requirements, API Contract, Data Model
  • Files to Create/Modify (the allowed set)
  • Acceptance Tests, Out of Scope, Decision Gates

When Tests Fail

Fix the implementation. Do NOT modify tests to make them pass.

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 · 32 lines · 42 tokens per session scan A 79d30d636c6e

Subscribe to this mod's changes

spec-driven is a skill published in the GitHub repository seeker71/Coherence-Network (3 stars, last pushed 6d ago), licensed Apache-2.0. It adds 42 tokens to every session and 277 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.

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