specops: Instructions file for Claude Code

CLAUDE.md

specops CLAUDE.md is an instructions file for Claude Code from sanmak/specops. It costs 1,576 tokens per session, scanned A, original, MIT.

A specification-first workflow for AI coding assistants. It turns an idea into requirements, a design, and implementation tasks before code is written, then produces instructions for five coding platforms.

In plain words
What is it for?
Use it to define, implement, complete, test, validate, and generate workflows for Claude Code, Cursor, Codex, Copilot, and Google Antigravity.
Why use it?
It reduces ambiguity by creating a shared specification and checking that generated platform files stay consistent.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions .claude-plugin; mentions CLAUDE.md.

This is sanmak/specops's own configuration. It tells Claude Code how to work on specops itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything specops configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sanmak/specops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/sanmak/specops/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/sanmak/specops

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/sanmak/specops/claude-md"><img src="https://agentmods.dev/badge/instructions/sanmak/specops/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,576 This file is loaded in full into every session.
When invoked 1,576 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01576 $0.01576
Opus 5.5 $0.00630 $0.00630
Sonnet 5.5 $0.00315 $0.00315
Haiku 4.5 $0.00158 $0.00158

Measured 1mo ago against content hash ffa1004f119e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

specops CLAUDE.md 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 1mo 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.

CLAUDE.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

What is SpecOps

SpecOps is a spec-driven development workflow for AI coding assistants. It transforms ideas into structured specifications (requirements, design, tasks) before implementation, following a 4-phase workflow: Understand, Spec, Implement, Complete. It supports five platforms (Claude Code, Cursor, Codex, Copilot, Google Antigravity) from a single source of truth.

Build & Validate Commands

# Run all tests (single command)
bash scripts/run-tests.sh

# Generate all platform outputs (required after changing core/, generator/templates/, or platform.json)
python3 generator/generate.py --all

# Generate for a single platform
python3 generator/generate.py --platform claude

# Validate generated outputs (200+ checks)
python3 generator/validate.py

# Lint shell scripts
shellcheck setup.sh verify.sh scripts/*.sh platforms/*/install.sh hooks/pre-commit hooks/pre-push

# Lint markdown (matches CI scope)
npx markdownlint-cli2 "core/**/*.md" "docs/**/*.md" ".claude/commands/**/*.md" "README.md" "CLAUDE.md" "QUICKSTART.md" "CONTRIBUTING.md" "CHANGELOG.md"

# Verify file integrity
shasum -a 256 -c CHECKSUMS.sha256

# Run individual test files
python3 tests/test_build.py
python3 tests/test_platform_consistency.py
python3 tests/test_schema_validation.py    # requires: pip install jsonschema
python3 tests/test_schema_constraints.py
python3 tests/test_spec_schema.py
python3 tests/test_initiative_schema.py
python3 tests/check_schema_sync.py

# Version bumping
bash scripts/bump-version.sh <new-version> --checksums

Three-Tier Architecture

Tier 1 -- Core Modules (core/*.md): Platform-agnostic workflow logic using abstract operations (READ_FILE, WRITE_FILE, RUN_COMMAND, etc. defined in core/tool-abstraction.md). Never use platform-specific tool names here. Key modules include core/workflow.md (4-phase workflow), core/decomposition.md (scope assessment, split detection, initiative model, cross-spec dependencies), core/initiative-orchestration.md (autonomous multi-spec execution), core/dispatcher.md (context-aware mode routing and enforcement gates), core/evaluation.md (adversarial evaluation with scored quality gates), core/dependency-introduction.md (dependency introduction gate), and core/learnings.md (production learnings capture and retrieval).

Read the full file on GitHub · 97 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. 1mo ago First seen · 97 lines · 1,576 tokens per session scan A ffa1004f119e

Subscribe to this mod's changes

specops CLAUDE.md is an instructions file published in the GitHub repository sanmak/specops (56 stars, last pushed 2mo ago), licensed MIT. It adds 1,576 tokens to every session, about $0.0063 per session on Opus 5.5. 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.

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