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 | $0.00048 | $0.00199 |
| Opus 5 | $0.00024 | $0.00100 |
| Sonnet 5 | $0.00010 | $0.00040 |
| Haiku 4.5 | $0.00005 | $0.00020 |
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 10d 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
Prompt
Purpose
Turn rough intent into an instruction another session could execute without repeated clarification — then execute it.
Workflow
- Identify the objective, the artifact to produce, the audience, sources, constraints, and success criteria.
- Ask only questions that change scope, risk, source access, or irreversible action. If none qualify, do not ask any.
- Convert the vague ask into concrete task instructions.
- Include guardrails about what not to touch, when relevant.
- Show the structured task briefly, then execute it, starting with the first bounded step.
Output Shape
Refined task:
Inputs to provide:
Constraints:
Success criteria:
First step:
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.
- 10d ago First seen · 29 lines · 48 tokens per session scan A 32a63f8e3066
prompt is a skill published in the GitHub repository chrisblattman/claudeblattman (452 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 199 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 2026-08-30.
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