knowledge-layer

knowledge-layer is a skill for Claude Code from study8677/repobrain. It costs 42 tokens per session (379 once invoked), scanned A, original, MIT.

A deployment wrapper around RepoBrain, a system that builds a searchable knowledge graph from a project’s files. It refreshes the graph and answers questions using code, documentation, data, and media metadata.

In plain words
What is it for?
Use it to refresh repository knowledge files or ask questions about a workspace through `refresh_filesystem` and `ask_filesystem`, while keeping RepoBrain’s core architecture as the source of truth.
Why use it?
It gives agents project answers grounded in source paths instead of relying only on memory or manually opened files. If graph files are unavailable, it can fall back to basic project structure and conventions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the repobrain plugin — 4 skills, 7 commands, 1 hook shipped together

Good fit Use it to refresh repository knowledge files or ask questions about a workspace through refresh_filesystem and ask_filesystem, while keeping RepoBrain’s core architecture as the source of truth.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/study8677/repobrain/knowledge-layer
About the project

RepoBrain is a repository knowledge engine that lets coding agents ask grounded questions about a codebase and receive answers linked to source files and lines. It is for developers using Claude Code, Cursor, Codex, Windsurf, and other AI coding tools. Catalogue add-ons extend its commands, instructions, skills, rules, plugin, and hook workflows.

study8677/repobrain · 1,346 stars · on GitHub · deepwiki.com

Install

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.

Any agent
npx skills add study8677/repobrain --skill knowledge-layer
Clone the repo
git clone --depth 1 https://github.com/study8677/repobrain

Made for: Claude Code.

Or install repobrain, the plugin that ships this one along with the rest of its 4 skills, 7 commands, 1 hook.

Wrote 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.

agentmods badge for knowledge-layer

README.md
[![agentmods](https://agentmods.dev/badge/skills/study8677/repobrain/knowledge-layer/github.svg)](https://agentmods.dev/skills/study8677/repobrain/knowledge-layer)
Your own site
<a href="https://agentmods.dev/skills/study8677/repobrain/knowledge-layer"><img src="https://agentmods.dev/badge/skills/study8677/repobrain/knowledge-layer/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.

agentmods 80×15 button for knowledge-layer

Your own site · 80×15
<a href="https://agentmods.dev/skills/study8677/repobrain/knowledge-layer"><img src="https://agentmods.dev/badge/skills/study8677/repobrain/knowledge-layer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 379 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00379
Opus 5.5 $0.00017 $0.00152
Sonnet 5.5 $0.00008 $0.00076
Haiku 4.5 $0.00004 $0.00038

Measured 9d ago against content hash 8314db5595e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-layer 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (__init__.py, tools.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

engine/repobrain_engine/skills/knowledge-layer/SKILL.md · 44 lines

What it actually says

Knowledge Layer Skill

Purpose

Provide a high-level deployment wrapper over RepoBrain core, with graph-first knowledge injection and all-file support (code, docs, data, media metadata).

Inputs

  • refresh_filesystem(workspace=".", full=False)
  • ask_filesystem(question, workspace=".")

Refresh automatically chooses a first complete build, matching interrupted-task resume, committed-diff update, or no-op. full=True always starts a new complete build. The workspace defaults to the current directory and must be a clean Git worktree. Ask stays read-only and only suggests rb-refresh when knowledge is stale. Both refresh surfaces report failures without replacing usable knowledge.

Outputs

  • Refresh writes graph-first artifacts under .repobrain/:
    • knowledge_graph.json
    • knowledge_graph.md
    • knowledge_graph.mmd
    • document_index.md
    • data_overview.md
    • media_manifest.md
    • plus existing conventions.md and structure.md
  • Ask returns a grounded answer with source paths.

Boundaries

  • Skill is a wrapper layer only; no standalone runtime.
  • Core Hub/Agent/Pipeline architecture remains the source of truth.

Compatibility

  • Existing commands (rb-refresh, rb-ask, rb-mcp) remain valid.
  • High-level aliases can be disabled with RB_ENABLE_LAYER_ALIASES=0.

Degrade Strategy

  • If graph artifacts are unavailable, ask falls back to structure.md and conventions.md context.
Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 9d ago Changed · +6 lines 8314db5595e8
  2. 1mo ago First seen · 38 lines · 42 tokens per session scan A 50de21c42cdb

Subscribe to this mod's changes

knowledge-layer is a skill published in the GitHub repository study8677/repobrain (1,346 stars, last pushed 3d ago), licensed MIT. It adds 42 tokens to every session and 379 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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