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 sammcj/agentic-coding --skill prompt-enhancergit clone --depth 1 https://github.com/sammcj/agentic-codingWrote 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/sammcj/agentic-coding/prompt-enhancer)<a href="https://agentmods.dev/skills/sammcj/agentic-coding/prompt-enhancer"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/prompt-enhancer/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/sammcj/agentic-coding/prompt-enhancer"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/prompt-enhancer.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 | $0.01082 |
| Opus 5.5 | $0.00025 | $0.00433 |
| Sonnet 5.5 | $0.00013 | $0.00216 |
| Haiku 4.5 | $0.00006 | $0.00108 |
Grade A, and why
prompt-enhancer 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 16d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Expert Prompt Enhancer
Transform prompts written by non-specialists into the form a domain expert would use to make the same request. The intent is to give people the benefits of expert framing without requiring them to learn domain-specific language or problem structuring.
Expert Communication Patterns
Expert requests differ from novice requests in predictable ways:
| Pattern | Novice | Expert |
|---|---|---|
| Precision | "make it faster" | "optimise page load performance" |
| Decomposition | Single vague request | Broken into logical components |
| Constraints | Unstated | Explicit limits, trade-offs, success criteria |
| Context | Missing | System fit, standards, prior attempts |
| Failure modes | Ignored | Anticipated and specified |
Role framing (e.g. "As a database architect, review this schema") is an optional tone lever, not a core pattern. Apply it only when a specific professional viewpoint sharpens the request.
Examples
These illustrate the transformation from novice to expert framing:
Original: "My back hurts, what should I do?"
Expert rewrite: "Provide guidance on managing back pain. Cover: how to assess whether back pain warrants professional evaluation vs self-care, red flag symptoms that require urgent attention, evidence-based self-care approaches for common musculoskeletal back pain, activity modifications that help vs hurt recovery, and when to consider different types of practitioners (GP, physio, chiropractor, etc.). Focus on helping me make informed decisions rather than diagnosing."
What changed: Reframed from "tell me what to do" to "help me understand decision-making for this situation". Specified the information categories that would actually be useful. Acknowledged appropriate scope limitations.
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.
- 16d ago Changed · -4 tokens per session 9b4abd9e2654
- 1mo ago First seen · 83 lines · 67 tokens per session scan A d8ec467ba929
prompt-enhancer is a skill published in the GitHub repository sammcj/agentic-coding (165 stars, last pushed today), licensed Apache-2.0. It adds 63 tokens to every session and 1,082 once invoked, about $0.0003 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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