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 stanislavnianko/product-discovery-claude-skills --skill go-nogo-memogit clone --depth 1 https://github.com/stanislavnianko/product-discovery-claude-skillsWrote 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/stanislavnianko/product-discovery-claude-skills/go-nogo-memo)<a href="https://agentmods.dev/skills/stanislavnianko/product-discovery-claude-skills/go-nogo-memo"><img src="https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/go-nogo-memo/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/stanislavnianko/product-discovery-claude-skills/go-nogo-memo"><img src="https://agentmods.dev/badge/skills/stanislavnianko/product-discovery-claude-skills/go-nogo-memo.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 | $0.00066 | $0.01155 |
| Opus 5 | $0.00033 | $0.00577 |
| Sonnet 5 | $0.00013 | $0.00231 |
| Haiku 4.5 | $0.00007 | $0.00115 |
Grade A, and why
go-nogo-memo 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go / No-Go Memo
Part of the discovery-phase skill pack ·
deliverablesgroup · readsdiscovery-context.md(runprofile-builderfirst if missing).
The terminal decision document. Everything before this fed into it; everything after follows from it. In outsourcing, the agency recommends, the client decides — the memo must support both perspectives.
When to run
- End of any discovery cycle
- Standalone if BA brings in evidence from elsewhere and just needs to write the memo
- Re-run after major new evidence (re-versioned)
Differs from proposal: proposal is commercial (here's what we'd do, please sign); memo is decisional (here's what we believe, please decide). They can co-exist.
Step 1 — Read context + scan evidence
Read discovery-context.md (section 5. Expected deliverable). Then scan ./discovery/ for available artifacts — even partial discovery can produce a memo, but flag the gaps explicitly in the memo's "Evidence" section.
If discovery-context.md is missing, ask the BA inline: "who's the decision-owner (client / agency / both) and what decision are we framing (proceed / pivot / kill)?" — tag the output [ASSUMED FRAMING]. Never block; recommend profile-builder for high-stakes work.
Step 2 — Force the decision first
Before writing anything, ask the BA:
"Based on what we have, what's the recommendation: GO / PIVOT / KILL? One word. We'll justify on paper next."
If they hesitate, probe:
- "What's the one finding that would flip this to the opposite answer?"
- "If you had to bet 10% of the agency's quarterly capacity (or your own time) on this, would you?"
- "Imagine this memo arrived from another team. Would you approve their recommendation?"
The memo serves the recommendation. No defensive prose.
Step 3 — Clarify the decision split (outsourcing)
Two roles must be explicit:
- Recommendation owner — the agency BA / lead. Owns the recommendation in the memo.
- Decision owner — typically the client (per
discovery-context.mdengagement). The memo gives them what they need to decide.
What ships with it
1 file 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.
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.
- 12d ago First seen · 83 lines · 66 tokens per session scan A 31d66095b140
go-nogo-memo is a skill published in the GitHub repository stanislavnianko/product-discovery-claude-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 1,155 once invoked, about $0.0003 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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