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 chrono-meta/forge-harness --skill meta-prompt-buildergit clone --depth 1 https://github.com/chrono-meta/forge-harnessWrote 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/chrono-meta/forge-harness/meta-prompt-builder)<a href="https://agentmods.dev/skills/chrono-meta/forge-harness/meta-prompt-builder"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/meta-prompt-builder/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/chrono-meta/forge-harness/meta-prompt-builder"><img src="https://agentmods.dev/badge/skills/chrono-meta/forge-harness/meta-prompt-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00077 | $0.02214 |
| Opus 5 | $0.00039 | $0.01107 |
| Sonnet 5 | $0.00015 | $0.00443 |
| Haiku 4.5 | $0.00008 | $0.00221 |
Grade A, and why
meta-prompt-builder 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 10d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
meta-prompt-builder — Prompt Delegation Skill
When agent-composer decides "what to orchestrate", meta-prompt-builder designs "what to say to each agent." Delegates prompt writing itself to AI — interprets Goal / Context / Constraints / Done When structure within the FH context.
Primary Users
agent-composer proficients — People who already have an orchestration plan and want to structure the specific instructions for each agent. Use this when you already know "which agents to use."
Beginners (unsure which agents to use) → start with agent-composer first. meta-prompt-builder is a post-orchestration step.
Triggers
/meta-prompt-builder- Automatically suggested immediately after agent-composer outputs an orchestration plan when user says "how do I instruct each one specifically?"
- "Write the prompts per Wave", "What should I say to each agent?", "Design the instructions"
- "I don't know what to tell the agents"
- "Tell me how to instruct this task so it's handled well"
- "Write the prompt for me"
- "Tell me how to request this from Claude"
- "How should I write the instructions?"
Step 0. Receive Task
Input: natural language task description + (optional) agent-composer orchestration plan
If no input is provided, ask for 4 fields:
What task are you designing a prompt for?
- Goal: What are you trying to achieve?
- Context: What project, files, or harness state is involved?
- Constraints: What should be avoided? Are there budget or time limits?
- Done When: When can you say "it's done"?
Natural Language Goal → Auto-suggest Recommended Chain
When Goal is provided in natural language (e.g., "I need to report to the team lead"), suggest a recommended chain using the keyword mapping below.
| Goal keyword | Recommended chain | Reason |
|---|---|---|
| "report", "team lead", "executive", "CTO", "persuade", "review" | apex-review → (sim-conductor if needed) | Decision-maker simulation then quality validation |
| "analyze", "diagnose", "something seems off" | harness-doctor → context-doctor | Structural + contextual diagnosis simultaneously |
| "simulate", "validate", "meta" | sim-conductor (D-code or Area B) | Multi-perspective validation |
| "install", "setup", "onboarding" | plugin-recommender → install-wizard | Recommend then install |
| "review", "code check" | sim-conductor D-code → hub-cc-pr-reviewer | Code review chain |
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.
- 10d ago First seen · 202 lines · 77 tokens per session scan A 361fc3c9a3f2
meta-prompt-builder is a skill published in the GitHub repository chrono-meta/forge-harness (14 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,214 once invoked, about $0.0004 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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taiyi-change
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taiyi-test
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taiyi-ui-design
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taiyi-compress
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