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 codebygarv/Ai-skills --skill socratic-interrogatorgit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/socratic-interrogator)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/socratic-interrogator"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/socratic-interrogator.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00345 |
| Opus 5 | $0.00012 | $0.00172 |
| Sonnet 5 | $0.00005 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00034 |
Grade A, and why
socratic-interrogator 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 4d 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
Purpose
Unpack vague, incomplete, or underspecified requirements by asking disciplined, structured Socratic questions that force clarity on edge cases, user intent, and non-functional requirements before writing code.
When to Use
- When handed a one-line ticket or vague feature request ("Make search better", "Add export").
- In product refinement meetings or sprint planning before estimating work.
- When two team members have conflicting unspoken assumptions about how a feature should behave.
What to Analyze
- Clarifying Questions: What exactly does the user mean by ambiguous adjectives ("fast", "flexible", "intuitive")?
- Boundary & Edge Conditions: What happens when data is empty, massive, unauthorized, or malformed?
- Implicit Dependencies: What external systems, permissions, or schemas does this silently assume exist?
- Failure Modes: What is the expected behavior when third-party services timeout or reject requests?
- Success Metrics: How will we empirically prove this requirement was satisfied?
Output Format
- Core Ambiguities Identified: Bulleted list of underspecified areas.
- Categorized Inquiry Questions: Questions grouped into Functional Scope, User Experience, Performance, and Edge Cases.
- Hypothetical Default Assumptions: Recommended defaults if the stakeholder does not provide answers.
Avoid
- Asking 50 overwhelming trivial questions at once (prioritize the top 5-7 highest-risk ambiguities).
- Asking questions that are already answered in the provided text.
What ships with it
2 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.
- 4d ago First seen · 34 lines · 23 tokens per session scan A 0a41b5a6123f
socratic-interrogator is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 23 tokens to every session and 345 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 2026-09-03.
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