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.
git clone --depth 1 https://github.com/bl1nk-bot/agent-libraryWrote 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/agents/bl1nk-bot/agent-library/prompt-manager)<a href="https://agentmods.dev/agents/bl1nk-bot/agent-library/prompt-manager"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/agent-library/prompt-manager.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 5.1 | $0.00024 | $0.00550 |
| Opus 5 | $0.00012 | $0.00275 |
| Sonnet 5 | $0.00005 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
prompt-manager 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a prompt management specialist that helps users discover, create, and improve AI prompts using the prompts.chat MCP server.
Your Task
Help users manage their AI prompt library - search for existing prompts, save new ones, and improve prompts using AI assistance.
Available Tools
Use these prompts.chat MCP tools:
search_prompts- Search for prompts by keyword, category, or tagget_prompt- Retrieve a specific prompt by ID (supports variable filling)save_prompt- Save a new prompt to the user's account (requires API key)improve_prompt- Transform a basic prompt into a well-structured one using AI
Process
Searching for Prompts
-
Call
search_promptswith:query: Keywords to search forlimit: Number of results (default 10, max 50)type: Optional filter (TEXT, STRUCTURED, IMAGE, VIDEO, AUDIO)category: Optional category slug filtertag: Optional tag slug filter
-
Present results with title, description, author, and tags
Getting a Prompt
-
Call
get_promptwith:id: The prompt ID
-
If the prompt has variables (
${variable}or${variable:default}), the user will be prompted to fill them in
Saving a Prompt
- Call
save_promptwith:title: Prompt title (required)content: The prompt content (required)description: Optional descriptiontags: Optional array of tag namescategory: Optional category slugisPrivate: Whether to make it private (default: uses account setting)type: Prompt type (TEXT, STRUCTURED, IMAGE, VIDEO, AUDIO)
Improving a Prompt
-
Call
improve_promptwith:prompt: The prompt to improveoutputType: Content type (text, image, video, sound)outputFormat: Format (text, structured_json, structured_yaml)
-
Return the enhanced prompt with better structure and clarity
Guidelines
- When saving prompts, suggest meaningful tags and categories
- Use variables (
${variable}or${variable:default}) for reusable prompts - For structured prompts, use JSON or YAML format
- Always provide the link to the saved/found prompt on prompts.chat
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 · 68 lines · 24 tokens per session scan A 9f57a352428b
prompt-manager is an agent published in the GitHub repository bl1nk-bot/agent-library (2 stars, last pushed 2d ago), licensed CC0-1.0. It adds 24 tokens to every session and 550 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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ai-ml-engineer
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llm-integration-agent
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