record-a-decision

record-a-decision is a skill for Claude Code from inkeep/open-knowledge-skills. It costs 175 tokens per session (3,261 once invoked), scanned A, original, MIT.

A format and workflow for recording one architecture decision in an ADR, a dated document explaining the context, options, choice, and consequences.

In plain words
What is it for?
Use it to record accepted, proposed, deprecated, or superseded architecture decisions and maintain a truthful chain of changes over time.
Why use it?
It preserves why a decision was made, including rejected alternatives, so future readers do not have to reconstruct the reasoning.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the software-lifecycle plugin — 6 skills shipped together

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/inkeep/open-knowledge-skills/record-a-decision
Any agent
npx skills add inkeep/open-knowledge-skills --skill record-a-decision
Clone the repo
git clone --depth 1 https://github.com/inkeep/open-knowledge-skills

Made for: Claude Code.

Or install software-lifecycle, the plugin that ships this one along with the rest of its 6 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for record-a-decision

README.md
[![agentmods](https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/record-a-decision.svg)](https://agentmods.dev/skills/inkeep/open-knowledge-skills/record-a-decision)
Your own site
<a href="https://agentmods.dev/skills/inkeep/open-knowledge-skills/record-a-decision"><img src="https://agentmods.dev/badge/skills/inkeep/open-knowledge-skills/record-a-decision.svg" alt="Measured on agentmods" height="20"></a>
Per session 175 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,261 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 5.1 $0.00175 $0.03261
Opus 5 $0.00088 $0.01631
Sonnet 5 $0.00035 $0.00652
Haiku 4.5 $0.00017 $0.00326

Measured 6d ago against content hash 4ac8ceadfee7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

record-a-decision 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 6d 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/starter-packs/software-lifecycle/record-a-decision/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Record a decision — write an ADR under decisions/

The platform /open-knowledge skill still governs every markdown operation here (grounding, linking, the rule that OK's MCP tools own in-scope markdown); this skill layers ADR craft on top.

An Architecture Decision Record is a small, dated, frozen document that captures one decision, the forces that made it necessary, and what the team now has to live with. The value compounds over years: a reader who joins in three years should understand not just what was decided but why it was even a question. ADRs are frozen once accepted — you never rewrite one to change your mind, you supersede it with a new record and leave the old one standing as history. That supersedes chain is what separates an honest decision log from a pile of stale opinions.

Filenames are NNNN-title.md (zero-padded 4-digit sequence + kebab title). Status vocabulary: proposed / accepted / deprecated / superseded. Template id decision, body sections exactly ## Context, ## Decision, ## Consequences in that order.


Step 0 — Confirm a decision was actually MADE (HARD GATE)

An ADR records a decision; it does not make one. Before anything else, establish that a choice has been settled.

  • If the user is still weighing options, comparing approaches, or asking "should we do X or Y?" — they do not have a decision yet. Stop and route them to the /frame-a-proposal skill. A proposal is where options get explored and argued; an ADR is where the settled outcome gets recorded. Recording a decision the user has not made produces a fake record that misleads every future reader.
  • If the user says "we decided X" but you cannot tell what lost or why, ask one question: "What were the alternatives, and what made you pick this one?" An ADR with no rejected options is a press release, not a record.
  • If the thing in question is whether the design itself is sound — not the record of it — hand off to /review-a-design. This skill assumes the decision is sound; it captures it.

Read the full file on GitHub · 189 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. 6d ago First seen · 189 lines · 175 tokens per session scan A 4ac8ceadfee7

Subscribe to this mod's changes

record-a-decision is a skill published in the GitHub repository inkeep/open-knowledge-skills (6 stars, last pushed 3d ago), licensed MIT. It adds 175 tokens to every session and 3,261 once invoked, about $0.0009 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

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

google/skills · 73 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…

google/skills · 181 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens