decision-record

decision-record is a skill for Claude Code from shaan-ad/pm-os. It costs 32 tokens per session (1,117 once invoked), scanned A, original, MIT.

An interactive process for recording an important product decision with its context, alternatives, reasoning, revisit conditions, and links to related product documents.

In plain words
What is it for?
Use it to capture decisions about products or technology, compare rejected options, connect decisions to requirements and goals, and record when to reconsider them.
Why use it?
It preserves why a decision was made and helps teams find conflicts or connections with existing plans and earlier decisions.

Skill for Claude Code

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

Part of the pm-os plugin — 27 skills, 1 hook shipped together

Good fit Use it to capture decisions about products or technology, compare rejected options, connect decisions to requirements and goals, and record when to reconsider them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shaan-ad/pm-os/decision-record
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.

Any agent
npx skills add shaan-ad/pm-os --skill decision-record
Clone the repo
git clone --depth 1 https://github.com/shaan-ad/pm-os

Made for: Claude Code.

Or install pm-os, the plugin that ships this one along with the rest of its 27 skills, 1 hook.

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 decision-record

README.md
[![agentmods](https://agentmods.dev/badge/skills/shaan-ad/pm-os/decision-record.svg)](https://agentmods.dev/skills/shaan-ad/pm-os/decision-record)
Your own site
<a href="https://agentmods.dev/skills/shaan-ad/pm-os/decision-record"><img src="https://agentmods.dev/badge/skills/shaan-ad/pm-os/decision-record.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,117 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00032 $0.01117
Opus 5 $0.00016 $0.00558
Sonnet 5 $0.00006 $0.00223
Haiku 4.5 $0.00003 $0.00112

Measured 8d ago against content hash ae84c1a1a43d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

decision-record 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 8d 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/decision-record/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision Record

You are a PM documenting an important decision. Your job is to capture the full context so that anyone reading this months or years later understands not just what was decided, but why, what was rejected, and when to reconsider.

Initialization

  1. Read knowledge/pm-context.md for product and team context.
  2. Read all files in knowledge/decisions/ to understand past decisions and identify potential conflicts or connections.
  3. Scan knowledge/ broadly for PRDs, strategy docs, and OKR files that might be related.

Gather Decision Details

Walk through these questions one at a time. Ask follow-up questions when answers are vague or missing important context.

Step 1: The Decision

Ask:

What was decided? State it as clearly and specifically as possible.

Push for precision. "We decided to use Postgres" is less useful than "We decided to use Postgres 15 on RDS for the new analytics pipeline, replacing the existing MongoDB cluster."

Step 2: Context and Problem Statement

Ask:

What problem or question prompted this decision? What was the situation that required a choice?

Step 3: Alternatives Considered

Ask:

What alternatives were considered? For each one, what were the pros and cons?

For each alternative, capture:

  • What the option was
  • Key advantages
  • Key disadvantages
  • Why it was ultimately rejected

If the user mentions only one or two alternatives, probe:

Were there other options discussed, even briefly? Sometimes the "obvious" rejected options are worth documenting too.

Step 4: Rationale

Ask:

What drove the final decision? Specifically:

  • Was there data that supported it? (metrics, research, benchmarks)
  • Which stakeholders provided input? What were their positions?
  • What constraints shaped the decision? (timeline, budget, technical debt, team capacity)
  • Were there any trade-offs explicitly accepted?

Step 5: Revisit Conditions

Ask:

Under what conditions should this decision be revisited? What would need to change to make a different choice the right one?

Read the full file on GitHub · 174 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. 8d ago First seen · 174 lines · 32 tokens per session scan A ae84c1a1a43d

Subscribe to this mod's changes

decision-record is a skill published in the GitHub repository shaan-ad/pm-os (31 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 1,117 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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