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 egorfedorov/claude-context-optimizer --skill sharpen-promptgit clone --depth 1 https://github.com/egorfedorov/claude-context-optimizerWrote 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/egorfedorov/claude-context-optimizer/sharpen-prompt)<a href="https://agentmods.dev/skills/egorfedorov/claude-context-optimizer/sharpen-prompt"><img src="https://agentmods.dev/badge/skills/egorfedorov/claude-context-optimizer/sharpen-prompt/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/egorfedorov/claude-context-optimizer/sharpen-prompt"><img src="https://agentmods.dev/badge/skills/egorfedorov/claude-context-optimizer/sharpen-prompt.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 | $0.00047 | $0.00328 |
| Opus 5.5 | $0.00019 | $0.00131 |
| Sonnet 5.5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
sharpen-prompt 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 yesterday.
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.
What it actually says
Sharpen a prompt
A precise prompt saves the back-and-forth, and the tokens, that a vague one costs. Rewrite the user's prompt so another assistant could do the task right on the first try.
Check what the prompt is missing
- Goal: what should exist or be true at the end.
- Context: who it's for, what it builds on, what was tried.
- Scope: exactly which files, sections, data or part of the problem. Name them.
- Constraints: must keep, must avoid, length, tone, tools, deadline.
- Done looks like: how to tell it worked: tests pass, a sample output, a checklist.
- Output format: a list, a table, a diff, a file, a one-paragraph answer.
Then
- If you can fill the gaps from the conversation, write the improved prompt in a code block in the user's language. Keep it as short as the task allows, and list in one line what you added and why.
- If one gap is essential and unknowable, ask that one question instead of guessing. Never ask more than one.
- Don't do the task itself unless the user asks you to.
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.
- yesterday First seen · 32 lines · 47 tokens per session scan A 43f6f1ede80c
sharpen-prompt is a skill published in the GitHub repository egorfedorov/claude-context-optimizer (116 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 328 once invoked, about $0.0002 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 2026-10-17.
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