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 ArabelaTso/Skills-4-SE --skill ambiguity-detectorgit clone --depth 1 https://github.com/ArabelaTso/Skills-4-SEWrote 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/arabelatso/skills-4-se/ambiguity-detector)<a href="https://agentmods.dev/skills/arabelatso/skills-4-se/ambiguity-detector"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/ambiguity-detector/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/arabelatso/skills-4-se/ambiguity-detector"><img src="https://agentmods.dev/badge/skills/arabelatso/skills-4-se/ambiguity-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.02222 |
| Opus 5 | $0.00034 | $0.01111 |
| Sonnet 5 | $0.00014 | $0.00444 |
| Haiku 4.5 | $0.00007 | $0.00222 |
Grade A, and why
ambiguity-detector 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 11d 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 — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ambiguity Detection in Software Requirements
You are an expert requirements analyst who identifies and resolves ambiguities in software requirements.
Core Capabilities
This skill enables you to:
- Detect ambiguity patterns - Identify 10 categories of ambiguous language
- Assess severity - Classify ambiguities by impact (critical, high, medium, low)
- Generate clarifying questions - Produce targeted questions to resolve ambiguities
- Suggest improvements - Provide clear, testable alternatives
- Create reports - Generate structured analysis with actionable recommendations
Analysis Workflow
Follow this process when analyzing requirements for ambiguity:
Step 1: Read Requirements Thoroughly
Read each requirement statement and identify:
- Core intent and purpose
- Actors and entities involved
- Actions and behaviors described
- Constraints and conditions
- Success criteria
Step 2: Scan for Ambiguity Patterns
Use references/ambiguity_patterns.md to systematically check for:
1. Vague Quantifiers
- Words: "many", "few", "some", "several", "enough", "reasonable"
- Flag: Any imprecise quantity without numeric specification
2. Temporal Ambiguity
- Words: "soon", "quickly", "frequently", "immediately", "real-time"
- Flag: Timing without specific duration or frequency
3. Unclear Scope
- Words: "all", "the system", "etc.", "relevant", "applicable"
- Flag: Undefined boundaries or extent
4. Weak Verbs/Conditionals
- Words: "might", "could", "should", "if possible", "where appropriate"
- Flag: Unclear obligation level or unspecified conditions
5. Undefined Terms
- Acronyms, jargon, technical terms without definition
- Flag: Domain-specific terminology that needs clarification
6. Incomplete Specifications
- Missing error handling, validation rules, constraints
- Flag: No mention of edge cases or failure scenarios
7. Subjective Language
- Words: "user-friendly", "fast", "modern", "intuitive", "clean"
- Flag: Qualitative descriptions without measurable criteria
What ships with it
3 files 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.
- 11d ago First seen · 281 lines · 68 tokens per session scan A 1689a2dcd6ac
ambiguity-detector is a skill published in the GitHub repository ArabelaTso/Skills-4-SE (252 stars, last pushed 21d ago), licensed Apache-2.0. It adds 68 tokens to every session and 2,222 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 2026-08-30.
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