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 jmsktm/claude-settings --skill entity-extractorgit clone --depth 1 https://github.com/jmsktm/claude-settingsWrote 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/jmsktm/claude-settings/entity-extractor)<a href="https://agentmods.dev/skills/jmsktm/claude-settings/entity-extractor"><img src="https://agentmods.dev/badge/skills/jmsktm/claude-settings/entity-extractor.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 | $0.00014 | $0.02427 |
| Opus 5 | $0.00007 | $0.01213 |
| Sonnet 5 | $0.00003 | $0.00485 |
| Haiku 4.5 | $0.00001 | $0.00243 |
Grade A, and why
Entity Extractor 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 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.
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
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 · 341 lines · 14 tokens per session scan A 0584381e63cf
Entity Extractor is a skill published in the GitHub repository jmsktm/claude-settings (9 stars, last pushed 7mo ago), with no licence file. It adds 14 tokens to every session and 2,427 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 2026-09-03.
Other skills, from other repositories
Entity Extractor
Extract named entities from text with high accuracy and customization.
nlp
Use when choosing how to tokenize text or which transformer type fits an NLP task, when a tokenizer over-fragments non-English text or inflates token cost, when picking a language metric, or when classification, NER or summarization output looks wrong and it is unclear whether the tokenizer, the architecture or the…
Embedding Generator
Generate and manage text embeddings for semantic search, clustering, and similarity tasks.
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus.
transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning…
graph-designer
Design YAML extraction templates for graph types (graph, hypergraph, temporalgraph, spatialgraph). Use when user says: "design graph", "create knowledge graph", "extract relationships", "temporal data", "spatial data". Trigger: User wants to extract entity relationships, multi-party events, or time/location-based…