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 lenar-amirov/product-pipeline-public --skill ambiguity-resolvergit clone --depth 1 https://github.com/lenar-amirov/product-pipeline-publicWrote 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/lenar-amirov/product-pipeline-public/ambiguity-resolver)<a href="https://agentmods.dev/skills/lenar-amirov/product-pipeline-public/ambiguity-resolver"><img src="https://agentmods.dev/badge/skills/lenar-amirov/product-pipeline-public/ambiguity-resolver/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/lenar-amirov/product-pipeline-public/ambiguity-resolver"><img src="https://agentmods.dev/badge/skills/lenar-amirov/product-pipeline-public/ambiguity-resolver.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 | $0.00098 | $0.00964 |
| Opus 5 | $0.00049 | $0.00482 |
| Sonnet 5 | $0.00020 | $0.00193 |
| Haiku 4.5 | $0.00010 | $0.00096 |
Grade A, and why
ambiguity-resolver 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ambiguity Resolver Skill
Purpose
Turn a brief handed down by someone else into a structured problem statement — so the PM can reply to the stakeholder with clarity instead of booking three more meetings. Distinctive value vs the normal drill-down: explicit OUT-of-scope boundaries and a named decision owner, which protect the PM when the request inevitably mutates.
Three-Stage Process
Stage 1: Reframe
- Restate the vague input as 3-5 explicit questions that need answering
- Identify the unstated assumptions hidden in the brief
- Surface the real decision this feeds into (what will someone do differently once this is resolved?)
Stage 2: Scope
- Define what is explicitly IN scope
- Define what is explicitly OUT of scope (equally important)
- Identify the deadline pressure: is this urgent/important, important/not urgent, or unclear?
- Name who owns the final decision and who needs to be consulted
Stage 3: Action
- Define the minimum viable research: 2-3 activities maximum that would give enough signal to move forward with confidence
- Time estimate for each activity
- What each activity would tell you (and what it wouldn't)
- Proposed check-in point: when to regroup before committing to more
Output Format
Problem Brief: [Opportunity Area]
Restated as questions:
- [Question 1]
- [Question 2]
- [Question 3]
Unstated assumptions we should surface:
- [Assumption 1]
- [Assumption 2]
In scope: [Clear boundary] Out of scope: [Clear boundary] Decision owner: [Name/role] Timeline: [Real deadline if known, or "unclear — recommend setting one"]
Minimum viable research:
| Activity | Time required | What it tells us |
|---|---|---|
| [activity] | [time] | [insight] |
Proposed check-in: After [activity], regroup to decide whether to proceed or pivot.
Pipeline Integration
This skill is a utility — use it at any pipeline step when input is vague or contradictory.
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 · 99 lines · 98 tokens per session scan A a5cc9c299ed6
ambiguity-resolver is a skill published in the GitHub repository lenar-amirov/product-pipeline-public (12 stars, last pushed 23d ago), licensed MIT. It adds 98 tokens to every session and 964 once invoked, about $0.0005 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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