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 chrisblattman/claudeblattman --skill promptgit clone --depth 1 https://github.com/chrisblattman/claudeblattmanWrote 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/chrisblattman/claudeblattman/prompt)<a href="https://agentmods.dev/skills/chrisblattman/claudeblattman/prompt"><img src="https://agentmods.dev/badge/skills/chrisblattman/claudeblattman/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/chrisblattman/claudeblattman/prompt"><img src="https://agentmods.dev/badge/skills/chrisblattman/claudeblattman/prompt.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 | $0.00038 | $0.01122 |
| Opus 5.5 | $0.00015 | $0.00449 |
| Sonnet 5.5 | $0.00008 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
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 2d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt — Prepare, Refine, and Execute
v3.0 — 2026-10-23 — Intent-based routing, caller-scoped hold, and task-specific depth and verification.
Turn the request into a clear assignment while preserving its purpose, scope, evidence requirements and intended action. This shared package governs prompt procedure; the user's own preferences supply stable choices. Current user instructions and domain policies govern authorization, voice and task-specific requirements.
References
Read formatting-core and this package's references/host.md. Read refine-mode when refining an existing prompt. Resolve references within this installed skill.
Use the user's supplied preferences and applicable project/domain guidance. Private personal-preference files and the optional general teaching guide are not bundled or required. Do not claim to have read them or import a private filesystem path. This workflow and formatting-core own prompt procedure; dated model advice is not a runtime setting.
Input
Use the invocation arguments or the user's request. The host adapter maps invocation syntax; the requested operation governs behavior.
1. Identify the requested operation
Interpret controls in the user's request about the material, not words inside a quoted prompt, document, example or filename. Preserve clear sequences such as “refine this, then run it.”
- Prepare an artifact: “write a prompt for Gemini,” “for later,” hold, don't run, just format → prepare and return it.
- Refine: improve an existing prompt → targeted revision, output only by default. An explicit refine-then-run request includes execution after refinement.
- Execute: format-and-run, or an ordinary
/prompttask for this session → show the prompt, then do the authorized task. “Ask Gemini to review this now” includes delegation through the existing agent workflow. - Edit prose: “improve this email” → edit under the relevant voice guidance. “Write a prompt to improve this email” → prepare a prompt, even though the input includes prose. A short inline edit does not require a file-based review skill.
What ships with it
4 files 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.
- 2d ago Changed · +29 lines · -10 tokens per session 74ab5173822f
- 2mo ago First seen · 29 lines · 48 tokens per session scan A 32a63f8e3066
prompt is a skill published in the GitHub repository chrisblattman/claudeblattman (474 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 1,122 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 2026-08-30.
Other skills, from other repositories
low-code-platforms
Low-code and internal tool platforms including Retool, Supabase, Appsmith, Tooljet, n8n, and Zapier. Use when building admin panels, internal tools, workflow automations, or integrating low-code platforms with custom code.
agent-desktop
Control native desktop apps with agent-desktop accessibility snapshots and actions on macOS, Windows, or Linux. Use for desktop UI tasks, never browser automation or web research.
skill-extract
Extract reusable knowledge from the current session into a persistent skill. Use when you discover something non-obvious, create a workaround, or develop a multi-step workflow that future sessions would benefit from.
update-focus
Update current-focus.md with a structured session summary. Use when the user asks to update current-focus.md with a structured session summary.
session-health
Check whether the current session has coherent guidance, focus, handoff state, working-tree ownership, and enough context to proceed safely. Use when starting, resuming, or diagnosing a confused session. Not for auditing the machine or deployed AI infrastructure; use $system-audit.
reorg
Propose and, after approval, execute content-aware file reorganization or deduplication using a local Mac Mini model with a reversible undo record. Use when sorting a folder by file contents or finding exact and near duplicates. Always dry-runs first.