context-doc

A guided way to create a project glossary and architecture decision records. The glossary explains important domain terms, while decision records capture significant technical choices and their reasons.

In plain words
What is it for?
Interviewing stakeholders about a project, maintaining CONTEXT.md, recording hard-to-reverse architecture choices in docs/adr/, and checking new work against the agreed vocabulary.
Why use it?
It reduces confusion when developers and domain experts use different words, and helps coding agents keep terminology and past decisions consistent across sessions.

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/darkroomengineering/cc-settings/context-doc
Any agent
npx skills add darkroomengineering/cc-settings --skill context-doc
Clone the repo
git clone --depth 1 https://github.com/darkroomengineering/cc-settings

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 634 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 $0.00041 $0.00634
Opus 5 $0.00020 $0.00317
Sonnet 5 $0.00008 $0.00127
Haiku 4.5 $0.00004 $0.00063

Measured 2d ago against content hash 54f36c144817, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

context-doc 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.

skills/context-doc/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context doc — domain language + ADRs

Two persistent artifacts that stop agent drift across sessions:

  • CONTEXT.md — the project's glossary. The terms domain experts and engineers both use. Updated inline as decisions crystallize.
  • docs/adr/ — architecture decision records. One paragraph per hard-to-reverse trade-off.

This skill produces both. Other skills read them via DOMAIN-AWARENESS.md (consumer rules in the same directory).

Workflow

Interview the user relentlessly about every aspect of the plan, terminology, or area in question until you reach shared understanding. Walk down each branch of the design tree, resolving dependencies one at a time. For each question, propose a recommended answer.

One question at a time. Wait for feedback before continuing.

If a question can be answered by reading code, read the code instead. Don't ask the user what git blame will tell you.

During the session

Challenge against the glossary. When the user uses a term that conflicts with the existing language in CONTEXT.md, call it out: "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"

Sharpen fuzzy language. When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account' — do you mean the Customer or the User? Those are different things."

Discuss concrete scenarios. When domain relationships are being discussed, stress-test them with specific scenarios. Invent edge cases that force the user to be precise about boundaries between concepts.

Cross-reference with code. When the user states how something works, check whether the code agrees. Surface contradictions: "Your code cancels entire Orders, but you just said partial cancellation is possible — which is it?"

Update CONTEXT.md inline. When a term is resolved, update the file right there. Don't batch. Format: see CONTEXT-FORMAT.md.

Don't couple CONTEXT.md to implementation. Only include terms meaningful to domain experts. "Timeout" is generic; "ShipmentDispatched" is domain.

Read the full file on GitHub · 44 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 44 lines · 41 tokens per session scan A 54f36c144817

Subscribe to this mod's changes

context-doc is a skill published in the GitHub repository darkroomengineering/cc-settings (42 stars, last pushed 4d ago), licensed MIT. It adds 41 tokens to every session and 634 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 2026-08-30.

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