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 happycapy-ai/Happycapy-skills --skill prompt-improvergit clone --depth 1 https://github.com/happycapy-ai/Happycapy-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/happycapy-ai/happycapy-skills/prompt-improver)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/prompt-improver"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/prompt-improver/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/happycapy-ai/happycapy-skills/prompt-improver"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/prompt-improver.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 System Prompt Leakage · line 101 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00057 | $0.01061 |
| Opus 5 | $0.00028 | $0.00531 |
| Sonnet 5 | $0.00011 | $0.00212 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade B, and why
prompt-improver scanned grade B with 1 finding 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
3. **Structure the output prompt** with these sections: How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Improver
Transform vague prompts into clear, specific, actionable ones for better AI responses.
Workflow
-
Gather context - Use AskUserQuestion to clarify:
- Target platform (Claude Code, ChatGPT, API, image gen)
- Priority (accuracy, speed, depth, creativity)
- Missing context (technical stack, constraints, examples)
-
Analyze - Identify what's unclear, missing, or ambiguous
-
Improve - Apply the framework (see references/framework.md)
-
Present - Show improved prompt with key changes explained
-
Refine - Ask if user wants adjustments
AskUserQuestion Templates
Initial clarification:
questions:
- header: "Platform"
question: "What will you use this prompt for?"
options:
- label: "Claude Code"
description: "Coding, file ops, terminal"
- label: "ChatGPT/Claude.ai"
description: "General conversation"
- label: "API/Automation"
description: "Programmatic use"
- label: "Image gen"
description: "DALL-E, Midjourney, etc."
- header: "Priority"
question: "What matters most?"
options:
- label: "Accuracy"
description: "Correctness is critical"
- label: "Speed"
description: "Quick, concise"
- label: "Depth"
description: "Comprehensive"
- label: "Creativity"
description: "Novel approaches"
Post-improvement:
header: "Refine"
question: "Adjust the improved prompt?"
options:
- label: "Looks good"
description: "Use as-is"
- label: "More specific"
description: "Add constraints"
- label: "More concise"
description: "Shorten"
- label: "Different focus"
description: "Change emphasis"
Output Format
## Analysis
[Brief issues/opportunities]
## Improved Prompt
[Ready-to-use prompt]
## Key Changes
- [Change]: [Why]
Quick Mode
If user says "quick improve", skip questions and make reasonable assumptions. Note assumptions made.
Aristotelian Mode (First Principles)
What ships with it
10 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.
- images/aristotelian-diagram.png 1100 KB
- images/before-after.png 1094 KB
- images/capybara-mascot.png 1206 KB
- images/workflow-diagram.png 688 KB
- LICENSE 1.0 KB
- README.md 8.6 KB
- references/anti-patterns.md 1.4 KB
- references/aristotelian.md 6.1 KB
- references/examples.md 3.7 KB
- references/framework.md 3.5 KB
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 · 131 lines · 57 tokens per session scan B 7d1f31028899
prompt-improver is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 8d ago), licensed MIT. It adds 57 tokens to every session and 1,061 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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