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 Kastalien-Research/thoughtbox --skill improving-promptsgit clone --depth 1 https://github.com/Kastalien-Research/thoughtboxWrote 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/kastalien-research/thoughtbox/improving-prompts)<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/improving-prompts"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/improving-prompts/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/kastalien-research/thoughtbox/improving-prompts"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/improving-prompts.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 | $0.00044 | $0.01255 |
| Opus 5 | $0.00022 | $0.00628 |
| Sonnet 5 | $0.00009 | $0.00251 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
improving-prompts 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 6d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improving Prompts
Overview
Apply documented Claude 4.5 best practices to existing prompts. Do not invent "improvements" - use the actual guidance from Anthropic.
When to Use
- Optimizing CLAUDE.md or AGENTS.md files
- Improving custom command prompts
- Refining skill instructions
- Migrating prompts from older Claude models to 4.5
When NOT to Use
- Writing new prompts from scratch (just follow best practices directly)
- The prompt is working well and user hasn't identified issues
The Core Problem
Without this skill, agents:
- Invent "best practices" from general knowledge
- Make structural changes without asking what's broken
- Add complexity assuming more structure = better
- Change things to demonstrate value rather than solve problems
Common Rationalizations (Do Not Fall For These)
| Rationalization | Reality |
|---|---|
| "The user said it's too vague" | "Too vague" isn't actionable. What specific behavior fails? |
| "I'm the expert, trust me" | Authority doesn't bypass the need for concrete issues |
| "Time pressure - demo tomorrow" | Pressure is when agents make the worst decisions |
| "The spirit of the skill is to help" | Violating the letter IS violating the spirit |
| "I have enough context" | If you can't name the specific failure, you don't |
| "Structure is always better" | Structure solves structure problems, not all problems |
| "This is obviously an improvement" | Obvious to you ≠ solving the user's actual problem |
Required Process
Step 1: Understand Before Changing
Before ANY modifications:
- Ask what specific behaviors are underperforming
- Ask what the prompt should achieve that it currently doesn't
- If user says "just improve it generally" - ask for at least one concrete issue
What counts as a "concrete issue":
- "Claude ignores my instruction to be concise" ✓
- "The examples I provide don't match the output format" ✓
- "Claude suggests changes but doesn't implement them" ✓
What does NOT count:
- "It's too vague" ✗ (vague about what?)
- "It doesn't follow best practices" ✗ (which practice? what fails?)
- "It's inconsistent" ✗ (inconsistent how? show examples)
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.
- 6d ago First seen · 141 lines · 44 tokens per session scan A 224421d301e5
improving-prompts is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,255 once invoked, about $0.0002 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 2026-09-03.
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