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 jcode-works/jcode-ragmir --skill ragmirgit clone --depth 1 https://github.com/jcode-works/jcode-ragmirWrote 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/jcode-works/jcode-ragmir/ragmir)<a href="https://agentmods.dev/skills/jcode-works/jcode-ragmir/ragmir"><img src="https://agentmods.dev/badge/skills/jcode-works/jcode-ragmir/ragmir/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/jcode-works/jcode-ragmir/ragmir"><img src="https://agentmods.dev/badge/skills/jcode-works/jcode-ragmir/ragmir.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00033 | $0.01055 |
| Opus 5.5 | $0.00013 | $0.00422 |
| Sonnet 5.5 | $0.00007 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
ragmir 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 1mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 1mo ago Changed · -132 lines · -10 tokens per session 621af0ca969d
- 1mo ago First seen · 214 lines · 43 tokens per session scan A 6f3405386dcc
ragmir is a skill published in the GitHub repository jcode-works/jcode-ragmir (6 stars, last pushed yesterday), licensed AGPL-3.0. It adds 33 tokens to every session and 1,055 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
my-wiki
A skill for managing a local Markdown knowledge vault that stores captured webpages, PDFs, Office files, notes, images, folders, and ZIP files. It links preserved source material, called References, to durable topic pages, called Concepts.
mooncite
Use when an agent needs past Pi, OMP, Claude Code, Codex, or ChatGPT context.
vector-memory-lancedb
Dense vector memory, LanceDB table schemas, embedding pipelines, cosine similarity deduplication, and semantic RAG retrieval.
Platos RAG
Ingest documents into the agent's long-term memory, then retrieve chunks semantically at turn-time. Five tools — ingest, retrieve, list, reindex, delete. Chunks are stored on the user's PlatosMemory rows with kind="rag" in metadata, so scope + user isolation comes for free.
query-kb
Load scoped repository context, then search and navigate a hraness/kb Markdown vault with hybrid text retrieval, exact metadata, bounded links and typed relationships, backlinks, whole-vault graph reports, and optional Git provenance. Use when an agent needs the applicable repository instructions, rationale, prior…
refresh-kb
Refresh and validate a hraness/kb Markdown knowledge graph after notes, concepts, typed relationships, attachments, repository scopes, or context mappings change. Use when an agent needs to maintain a managed or authored catalog, inspect graph and lifecycle findings, validate local artifacts and scope hubs, or…