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 agentmods add skills/stellarshenson/claude-code-plugins/update-promptnpx skills add stellarshenson/claude-code-plugins --skill update-promptgit clone --depth 1 https://github.com/stellarshenson/claude-code-pluginsWrote 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/stellarshenson/claude-code-plugins/update-prompt)<a href="https://agentmods.dev/skills/stellarshenson/claude-code-plugins/update-prompt"><img src="https://agentmods.dev/badge/skills/stellarshenson/claude-code-plugins/update-prompt.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00380 |
| Opus 5 | $0.00011 | $0.00190 |
| Sonnet 5 | $0.00004 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
update-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 5d 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.
What it actually says
Update Prompt
Take an existing prompt (or task description) and update it by applying a research-backed prompt engineering technique.
Step 1: ASK the user
Present the available techniques:
"Which prompt engineering technique should I apply?
- Psychological Prompting - stakes + persona + challenge + self-check (best for complex tasks needing maximum effort)
- Chain of Thought - step-by-step reasoning (best for math, logic, debugging)
- Chain of Draft - minimal per-step drafts, 7.6% of the token cost (best for token-limited reasoning)
- Tree of Thought - explore 2-3 approaches, evaluate, select (best for design decisions)
- Few-Shot - provide examples of desired output (best for structured format)
- Self-Refine - generate -> critique -> improve loop (best for iterative quality)
- Rephrase and Respond - restate problem before solving (best for ambiguous requirements)
- Stack multiple - combine techniques for maximum effect
Which technique(s)? (number or name, can pick multiple)"
Step 2: Read the reference
Read the relevant reference document(s) from references/ in the prompt-engineering skill directory.
Step 3: Apply
Take the user's prompt/task and restructure it using the selected technique's template. Show the before and after.
If stacking: apply techniques in order (persona first, then methodology, then self-check last).
Step 4: Iterate
Ask: "Does this capture your intent? Adjust anything?"
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.
- 5d ago First seen · 41 lines · 22 tokens per session scan A 31c00e63a6c3
update-prompt is a skill published in the GitHub repository stellarshenson/claude-code-plugins (3 stars, last pushed 5d ago), licensed MIT. It adds 22 tokens to every session and 380 once invoked, about $0.0001 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 2026-08-31.
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