spec-sync

A workflow for keeping confirmed decisions and requirements written in the project’s main specification document.

In plain words
What is it for?
Use it when the user confirms changed goals, constraints, exclusions, or acceptance criteria, and when those decisions need to be recorded for handoff.
Why use it?
It prevents future sessions or other agents from following outdated instructions that exist only in a conversation.

Skill for Claude CodeCodex

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/chipfighter/coding-discipline/spec-sync
Any agent
npx skills add chipfighter/coding-discipline --skill spec-sync
Clone the repo
git clone --depth 1 https://github.com/chipfighter/coding-discipline

Made for: Claude Code, Codex.

Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 922 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 $0.00120 $0.00922
Opus 5 $0.00060 $0.00461
Sonnet 5 $0.00024 $0.00184
Haiku 4.5 $0.00012 $0.00092

Measured 2d ago against content hash 9b47f8156e9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

spec-sync 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.

plugins/coding-discipline/skills/spec-sync/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hard rule: A change confirmed in conversation must not remain only in the conversation. If user-confirmed intent that affects future collaboration or acceptance is not written back to the source of truth in this session, the next session cannot even see that the user changed their mind—intent that was never persisted cannot be recovered.

The decision test (the only test for whether to sync)

If the next session or another agent read only the current source of truth, would it continue toward an outcome the user has rejected, violate a new constraint, or judge completion against stale criteria? If so, the change must be synced.

  • Only changes the user has already confirmed belong in the spec; your own inferences and ideas still under discussion do not.
  • Before deciding, read the current source of truth at most once to compare. Do not turn this into research.

Write-back rules

  1. Use the current source of truth already designated by the project—the document named by the project guide.
  2. If none is designated, designate an existing Issue / PRD / ADR / status document as the current spec; do not copy it into a second document. If there are multiple candidates or none is obvious, ask the user to choose.
  3. If nothing exists and the work genuinely spans sessions, is shared by multiple people, or would be costly to get wrong, ask whether the user wants a minimal spec (below). The user decides whether to create one; do not create one for work that can be completed within a single session.
  4. After designating or creating one, put a pointer to the source of truth in the project guide document (the “where to find the current state” entry in CLAUDE.md / AGENTS.md)—write only the pointer, not a copy of the content—so the next session can find it.
  5. Edit only the affected original wording: do not append separate “old decision / new decision” versions, reorder the document, or polish the whole document along the way. Replace the affected text as a whole only when the direction changes substantially; leave history to Git.
  6. Do not record execution progress, next steps, or verification evidence. Those belong to the harness / Git / CI, not the spec.
  7. In multi-person / multi-agent work, workers are read-only by default; the primary agent or owner maintains the spec.

Read the full file on GitHub · 38 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. 2d ago First seen · 38 lines · 120 tokens per session scan A 9b47f8156e9d

Subscribe to this mod's changes

spec-sync is a skill published in the GitHub repository chipfighter/coding-discipline (6 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 922 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

rulesync

Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.

dyoshikawa/rulesync · 64 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens

autoprompt

Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction.

Spielewoy/autoprompt-skill · 56 tokens

office-hours

YC Office Hours — two modes. Startup mode: six forcing questions that expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit. Builder mode: design thinking brainstorming for side projects, hackathons, learning, and open source. Saves a design doc. Use when asked to…

GCWing/BitFun · 168 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

echo

Use when the user references past sessions, asks 'what did we do', 'do you remember', 'last session', 'recall', or 'continue from'.

cwinvestments/memstack · 35 tokens