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 giang6283623/minimal-vibe-coding-kit --skill prompt-sharpenergit clone --depth 1 https://github.com/giang6283623/minimal-vibe-coding-kitWrote 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/giang6283623/minimal-vibe-coding-kit/prompt-sharpener)<a href="https://agentmods.dev/skills/giang6283623/minimal-vibe-coding-kit/prompt-sharpener"><img src="https://agentmods.dev/badge/skills/giang6283623/minimal-vibe-coding-kit/prompt-sharpener/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/giang6283623/minimal-vibe-coding-kit/prompt-sharpener"><img src="https://agentmods.dev/badge/skills/giang6283623/minimal-vibe-coding-kit/prompt-sharpener.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00034 | $0.00830 |
| Opus 5.5 | $0.00014 | $0.00332 |
| Sonnet 5.5 | $0.00007 | $0.00166 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
prompt-sharpener 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 2mo 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Sharpener
The text the user types after the invocation is the raw prompt. Upgrade it into a prompt that is sharper, not longer - keep the original intent, constraints, and language - then execute the upgraded version immediately in the same turn. No text after the invocation → ask the user what they want and stop.
Step 1 - Diagnose the raw prompt
Scan for every ailment below; each ailment found gets its cure applied directly in the upgraded prompt. Cure silently; call out a cure only when it could shift the user's intent.
- Vague verbs or adjectives ("help me", "make it nicer") → concrete, measurable operations and parameters.
- Two tasks in one prompt → split into an explicit execution order.
- No success criteria → add a binary pass/fail
Done when. - Emotional description ("everything is broken") → extract the specific technical symptom.
- "The whole app" scope → pin exact files/functions/directories; coding tasks always get a scope lock (edit only inside X, leave the rest untouched).
- Relies on memory of an old session → copy the decisions already settled in this conversation (stack, architecture, what was tried and failed) into the
Contextblock. - Invitation to fabricate ("what do experts say about X?") → anchor grounding: state only what can be verified; when unsure, say so explicitly.
- No output format → fix the structure and length; when the format is hard to describe in words, include 2-3 sample examples (including an edge case) in the
Output Contract.
Done when: the raw prompt has been checked against the full list and no ailment is left without its cure in the upgraded prompt.
Step 2 - Build the upgraded prompt
Classify the task (coding / research / writing / analysis / planning / review), then assemble blocks in this order - add a block only when it raises precision; small tasks need just 2-3 blocks:
Objective → Context → Work Style → Tool Rules → Output Contract → Verification → Done Criteria
Focus per task type:
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.
- 2mo ago First seen · 55 lines · 34 tokens per session scan A d001b35b8870
prompt-sharpener is a skill published in the GitHub repository giang6283623/minimal-vibe-coding-kit (26 stars, last pushed 18d ago), licensed MIT. It adds 34 tokens to every session and 830 once invoked, about $0.0001 per session on Opus 5.5. 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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