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 iliaal/whetstone --skill meta-promptinggit clone --depth 1 https://github.com/iliaal/whetstoneWrote 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/iliaal/whetstone/meta-prompting)<a href="https://agentmods.dev/skills/iliaal/whetstone/meta-prompting"><img src="https://agentmods.dev/badge/skills/iliaal/whetstone/meta-prompting/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/iliaal/whetstone/meta-prompting"><img src="https://agentmods.dev/badge/skills/iliaal/whetstone/meta-prompting.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 | $0.00104 | $0.00948 |
| Opus 5 | $0.00052 | $0.00474 |
| Sonnet 5 | $0.00021 | $0.00190 |
| Haiku 4.5 | $0.00010 | $0.00095 |
Grade A, and why
meta-prompting 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta-Prompting
Enhanced reasoning via /commands or natural language. Commands combine left-to-right: /verify /adversarial. Auto-trigger when context warrants — note which pattern applied.
Patterns
/think | /show — Show reasoning step-by-step: decision points, alternatives considered, why each accepted/rejected. With /think doubt: after each step, flag what could be wrong and why before proceeding.
/adversarial | /argue — After answering, argue against it. 3 strongest counterarguments ranked by severity. Identify blind spots and unstated assumptions.
/constrain | /strict — Tight constraints: 3 sentences max, cite sources, no hedging. Override inline: /constrain 5 sentences.
/json | /format — Respond in valid JSON code block, no surrounding prose unless asked. Default schema:
{"analysis": "", "confidence_score": 0-100, "methodology": "", "limitations": []}
Custom keys: /json {keys: summary, risks, recommendation}
/budget | /deep — Extended thinking space (~500 words) showing dead ends and reasoning pivots, then clearly separated final answer.
/compare | /vs — Compare options as table. Default dimensions: speed, accuracy, cost, complexity, maintenance. Custom: /compare [dim1, dim2].
/confidence | /conf — Rate each claim 0-100. Flag below 70 as SPECULATIVE. Group by tier: HIGH (85+), MEDIUM (70-84), LOW (<70). Include assumptions made and rate each 1-10 on confidence.
/edge | /break — 5+ inputs/scenarios that break the approach. Code: null/empty, concurrency, overflow, encoding, auth bypass. Strategies: market conditions, timing, dependencies.
Auto-triggers on: security, validation, parsing contexts.
/verify | /check — Three phases: (1) Answer direct response, (2) Challenge 3 ways it could be wrong, (3) Verify investigate each, update if needed. Mark final as VERIFIED ANSWER: or REVISED ANSWER:.
Auto-triggers on: architecture decisions, critical choices, "Am I right?"
What ships with it
1 file 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 · 62 lines · 104 tokens per session scan A 842acf0a0078
meta-prompting is a skill published in the GitHub repository iliaal/whetstone (33 stars, last pushed 3d ago), licensed MIT. It adds 104 tokens to every session and 948 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.
Other skills, from other repositories
review-prompt
Review LLM prompts against the prompt-engineering skill's principles — leading with where each line came from — and report the findings without modifying files. Use when reviewing prompt quality, auditing a prompt, evaluating a system prompt, or checking whether prompt issues are high-confidence and fixable.
gemini-prompting
Internal guidance for composing Gemini and AGY prompts for coding, review, diagnosis, and research tasks inside the Gemini Claude Code plugin.
openai
Templates designed for or comparing OpenAI models (GPT-4o, future GPT models).
prompt-optimizer
Optimize prompts for Claude's latest models (Claude 5 family — Opus 5, Sonnet 5, Fable 5 — plus the still-active Opus 4.8, Sonnet 4.6, and Haiku 4.5) using Anthropic's official prompt-engineering guidance. Use when users want to improve, refine, debug, or create prompts or system prompts for Claude. Triggers include…
grok-prompting
Internal guidance for composing Grok prompts for coding, review, diagnosis, and research tasks inside the Grok Claude Code plugin.
shipkit-prompt-audit
Audit LLM prompt pipeline architecture — decomposition, parallelization, chain integrity, schema validation, fallback paths. Finds structural issues no linter catches.