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.
npx skills add puristajs/harness --skill decision-memo-plannergit clone --depth 1 https://github.com/puristajs/harnessWrote 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.
[](https://agentmods.dev/skills/puristajs/harness/decision-memo-planner)<a href="https://agentmods.dev/skills/puristajs/harness/decision-memo-planner"><img src="https://agentmods.dev/badge/skills/puristajs/harness/decision-memo-planner/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/puristajs/harness/decision-memo-planner"><img src="https://agentmods.dev/badge/skills/puristajs/harness/decision-memo-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00025 | $0.00087 |
| Opus 5 | $0.00013 | $0.00044 |
| Sonnet 5 | $0.00005 | $0.00017 |
| Haiku 4.5 | $0.00003 | $0.00009 |
Grade A, and why
decision-memo-planner 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 10d 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.
What it actually says
Decision Memo Planner
Turn a proposal into evaluation criteria, evidence needs, assumptions, options, tradeoffs, and retrieval tasks. Keep the plan grounded in wiki pages, uploaded sources, and existing artifacts.
Prefer explicit decision options: adopt, pilot, defer, or reject.
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.
- 10d ago First seen · 13 lines · 25 tokens per session scan A a1e916d628a5
decision-memo-planner is a skill published in the GitHub repository puristajs/harness (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 25 tokens to every session and 87 once invoked, about $0.0001 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.
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Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small.
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Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.