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/ai-skills --skill meta-promptinggit clone --depth 1 https://github.com/iliaal/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/iliaal/ai-skills/meta-prompting)<a href="https://agentmods.dev/skills/iliaal/ai-skills/meta-prompting"><img src="https://agentmods.dev/badge/skills/iliaal/ai-skills/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/ai-skills/meta-prompting"><img src="https://agentmods.dev/badge/skills/iliaal/ai-skills/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 | $0.00063 | $0.01358 |
| Opus 5 | $0.00032 | $0.00679 |
| Sonnet 5 | $0.00013 | $0.00272 |
| Haiku 4.5 | $0.00006 | $0.00136 |
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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ia-meta-prompting — 98% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta-Prompting
Stress-test decisions via /commands or natural language. Commands combine
left-to-right: /verify /adversarial. Auto-trigger when context warrants and
note which pattern applied. Output a decision record with the conclusion,
decisive evidence, alternatives, uncertainty, and the applicable marker (e.g.,
VERIFIED ANSWER:, REVISED ANSWER:, confidence tier).
Patterns
/think | /show -- Present a concise decision record: conclusion,
decisive evidence, alternatives considered, rejection reasons, and material
uncertainty. With /think doubt, state what evidence could overturn each
material conclusion.
/adversarial | /argue -- After answering, steelman the opposing case. 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": "string", "confidence_score": 85, "methodology": "string", "limitations": ["string"]}
Custom keys: /json {keys: summary, risks, recommendation}
/budget | /deep -- Extended decision record (~500 words) covering
evidence, the strongest counterargument, alternatives, trade-offs, and
uncertainty, followed by a 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.
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.
- 12d ago First seen · 85 lines · 63 tokens per session scan A 9d166366236b
meta-prompting is a skill published in the GitHub repository iliaal/ai-skills (41 stars, last pushed 4d ago), licensed MIT. It adds 63 tokens to every session and 1,358 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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