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 agents/orneryd/mimir/agentic_prompting_frameworkgit clone --depth 1 https://github.com/orneryd/MimirWhat 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 | $0.00000 | $0.08601 |
| Opus 5 | $0.00000 | $0.04300 |
| Sonnet 5 | $0.00000 | $0.01720 |
| Haiku 4.5 | $0.00000 | $0.00860 |
Grade A, and why
AGENTIC_PROMPTING_FRAMEWORK scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Verification: `curl localhost:3000/health` returns {"status":"ok"} The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 3d ago First seen · 998 lines · 0 tokens per session scan A c4bd9dec274d
AGENTIC_PROMPTING_FRAMEWORK is an agent published in the GitHub repository orneryd/Mimir (282 stars, last pushed 8mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 8,601 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
prompt_optimizer
Elite prompt optimization engine — rewrites prompts for higher quality.
prompt-engineer
Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns and techniques.
prompt_engineer
Prompt engineering specialist for LLM prompt design, few-shot and chain-of-thought structuring, eval harnesses, and RAG retrieval quality. Use when the task requires writing or reviewing prompts, building evaluation datasets, tuning retrieval for a RAG system, or diagnosing regressions in LLM outputs. For example…
ai-ml-prompt-engineering-agent
Agent "ai-ml-prompt-engineering-agent" from girijashankarj/cursor-handbook, covering prompt engineering agent, invocation, scope, expertise and when to use.
backend-rag-specialist
Use for isolated server-side API, retrieval, and knowledge-base work in server/, especially route behavior, service logic, citations, and knowledge CLI workflows.
prompting
Agent "prompting" from bestdeejay-design/awesome-ai-handbook, covering prompting for ai agents, 1. how agent prompting differs, 2. system prompt structure, role and tools.