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 wecode-ai/Wegent --skill wegent-knowledgegit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/wegent-knowledge)<a href="https://agentmods.dev/skills/wecode-ai/wegent/wegent-knowledge"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/wegent-knowledge/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/wecode-ai/wegent/wegent-knowledge"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/wegent-knowledge.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 | $0.00051 | $0.01605 |
| Opus 5.5 | $0.00020 | $0.00642 |
| Sonnet 5.5 | $0.00010 | $0.00321 |
| Haiku 4.5 | $0.00005 | $0.00161 |
Grade A, and why
wegent-knowledge 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wegent Knowledge Base Skill
You now have access to Wegent Knowledge Base management tools.
Available Tools
-
wegent_kb_list_knowledge_bases: List all knowledge bases accessible to the current user
- scope: "personal" (your own), "group" (team), "organization", or "all" (default)
- group_name: Specify group name when scope="group"
- limit: Maximum number of knowledge bases to return per page
- offset: Start offset for paginated listing
- returns: items, total, returned_count, limit, offset, has_more
- each item includes namespace_level ("personal", "group", or "organization") and namespace_display_name ("personal", group display name, or organization display name)
-
wegent_kb_list_documents: List all documents in a knowledge base
- knowledge_base_id: ID of the knowledge base
- folder_id: Optional selected folder ID
- include_subfolders: Whether to include descendant folders (default: true)
- limit: Maximum number of documents to return per page
- offset: Start offset for paginated listing
- returns: items, total, returned_count, limit, offset, has_more
-
wegent_kb_create_knowledge_base: Create a new knowledge base
- name: Knowledge base display name
- description: Optional description
- namespace: "default" (personal) or a group namespace (requires Maintainer+)
- kb_type: "notebook" (default) or "classic"
- summary_enabled: Enable automatic summary generation (default: true)
-
wegent_kb_create_document: Create a new document in a knowledge base
- knowledge_base_id: Target knowledge base ID
- name: Document name
- source_type: "text" (paste content), "file" (base64 encoded), or "web" (URL to scrape)
- content: Document content when source_type="text"
- file_base64: Base64 encoded file when source_type="file"
- file_extension: File extension when source_type="file"
- url: URL to fetch when source_type="web"
- trigger_indexing: Whether to trigger RAG indexing (default: true)
- trigger_summary: Whether to trigger summary generation (default: true)
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 First seen · 161 lines · 51 tokens per session scan A 003716ce0171
wegent-knowledge is a skill published in the GitHub repository wecode-ai/Wegent (872 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 1,605 once invoked, about $0.0002 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 2026-08-30.
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openlore
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