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 Kshitijpalsinghtomar/depth-skills --skill ds-clarifygit clone --depth 1 https://github.com/Kshitijpalsinghtomar/depth-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/kshitijpalsinghtomar/depth-skills/ds-clarify)<a href="https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/ds-clarify"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-clarify/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/kshitijpalsinghtomar/depth-skills/ds-clarify"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/ds-clarify.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 | $0.00026 | $0.00907 |
| Opus 5 | $0.00013 | $0.00453 |
| Sonnet 5 | $0.00005 | $0.00181 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
clarify 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLARIFY — Ask/Answer Decision Engine
Every prompt is either ready for an answer or missing something that would dramatically improve it. You must decide: ask now, or answer now and refine later?
The wrong choice costs:
- Asking when you could answer: Wastes user's time, breaks flow, signals incompetence
- Answering when you should ask: Delivers wrong thing, requires revision cycles, erodes trust
This skill decides.
The Failure Mode You Must Recognize
You are about to either:
- Ask a question the user already answered (implicitly or in prior context)
- Answer a question that will require 3 follow-up messages to converge
Both signal the same underlying failure: you assessed the prompt's information state incorrectly.
The Protocol
1 — ASSESS INTENT READINESS
Write your assessment of the incoming prompt:
INTENT ASSESSMENT
────────────────────────────────────────
Explicit request: [what user literally asked]
Inferred intent: [what they probably need - write one sentence]
Missing pieces: [what you don't know that would change the answer]
Confidence: [0-100% that you understand what they need]
Urgency signal: [does prompt contain "urgent", "asap", "right now"?]
Prior context: [relevant conversation history - yes/no]
────────────────────────────────────────
Artifact: Intent assessment. Step 2 uses this to score question value.
2 — SCORE QUESTION VALUE
For each potential question, calculate its value:
QUESTION VALUE SCREENING
────────────────────────────────────────
Question: [write the question]
If I knew the answer, how much would my response change?
- Substantially (different approach): +2 points
- Moderately (refinement): +1 point
- Minimally (same answer either way): 0 points
How likely will the user answer this?
- High (obvious gap): +1 point
- Medium (reasonable to ask): 0 points
- Low (intrusive): -1 point
What is the delay cost?
- Low (quick answer): +1 point
- Medium (some back-and-forth): 0 points
- High (derails conversation): -1 points
TOTAL: [sum] → [ASK / ANSWER / ANSWER-THEN-REFINE]
────────────────────────────────────────
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 · 112 lines · 26 tokens per session scan A 1ef8c1052619
clarify is a skill published in the GitHub repository Kshitijpalsinghtomar/depth-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 907 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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