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 charlieviettq/awesome-agent-skill --skill clarify-underspecifiedgit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/clarify-underspecified)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/clarify-underspecified"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/clarify-underspecified/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/charlieviettq/awesome-agent-skill/clarify-underspecified"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/clarify-underspecified.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 | $0.00043 | $0.00336 |
| Opus 5 | $0.00022 | $0.00168 |
| Sonnet 5 | $0.00009 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
clarify-underspecified 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 7d 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
Clarify underspecified requests
When to use
- Multiple plausible interpretations exist.
- Objective, scope, constraints, or "done" criteria are missing.
- Quick read-only discovery cannot resolve the ambiguity.
When not to use
- Request is already specific enough to proceed.
- A short repo/config read answers the open questions.
Workflow
- Decide if the request is underspecified (objective, scope, constraints, environment, safety).
- Ask 1-5 questions max; prefer multiple-choice with a
defaultsfast path. - Separate need to know vs nice to know.
- Do not run mutating commands or commit to a detailed plan until must-have answers arrive.
- If the user asks to proceed without answers, state assumptions explicitly and get confirmation.
Question format
1) Scope?
a) Minimal change (default)
b) Broader refactor in the same area
c) Not sure - use default
Reply: defaults (or 1a 2b)
Anti-patterns
- Do not ask what a quick read of repo/docs already answers.
- Do not ask open-ended questions when a yes/no or A/B choice is faster.
Output
Restate requirements in 1-3 sentences (constraints + success criteria), then start work.
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.
- 7d ago First seen · 47 lines · 43 tokens per session scan A dd944fa567b7
clarify-underspecified is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (25 stars, last pushed 1mo ago), licensed MIT. It adds 43 tokens to every session and 336 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 2026-09-03.
Other skills, from other repositories
mix-compression
Reduce mix output noise (5-15% token savings) by installing rtk filters that compress mix test/credo/dialyzer/compile output before it reaches Claude. Use when long mix output floods context.
phx-mix-compression
Reduce mix output noise (5-15% token savings) by installing rtk filters that compress mix test/credo/dialyzer/compile output before it reaches Claude. Use when long mix output floods context.
quick
Implement small Phoenix changes without planning — add validations, update routes, fix components, create migrations. Use for single-file edits under 50 lines.
phx-freeze
Apply an advisory edit scope in this session. Use for read-only or directory-scoped work; no enforcement hook is installed.
workflow-automation
Automate construction data workflows. Build ETL pipelines and DAG workflows for recurring tasks.
document-classification-nlp
Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.