semantica-knowledge-graph SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
semantica-knowledge-graph from arasz/ai-badger is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add arasz/ai-badger/semantica-knowledge-graph@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- arasz/ai-badger
- Path
.ai-badger/skills/semantica-knowledge-graph/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Aug 28, 2026
- First version recorded
- Aug 13, 2026
- Size
- 4,997 bytes
- Repository stars
- 3
- License
- MIT
Use when reasoning over structured project knowledge — record decisions with provenance, trace causal chains, extract entities from conversations, or run graph analytics. Complements AiRaccoon memory (recall) with structured reasoning (connections and causality).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# semantica-knowledge-graph Semantica is a session-scoped knowledge graph MCP server (MIT, v0.6.5+). In-memory graph state accumulates within a session but dies on process exit. ## When NOT to Use - A one-off fact lookup — use `memory_search` (AiRaccoon) first. - No decision or extraction needed — skip graph ceremony. - Durable facts outliving the session — write to AiRaccoon (`memory_write`). ## Workflows ### 1. Decision recording 1. `record_decision(category="...", scenario="...", reasoning="...", outcome="...", confidence=0.85)` 2. `add_entity` for key concepts 3. `add_relationship(source="...", target="...", relationship_type="...")` 4. Cite decision id in commits or PRs for traceability ### 2. Entity extraction - **Option 2 (Agent-Guided — Primary)**: Use LLM reasoning to extract domain concepts and call `add_entity` + `add_relationship`. Instantaneous, zero dependencies. - **For Code Structures**: Use `code-review-graph` MCP tools (`semantic_search_nodes_tool`, `find_callers`, `find_dependents`) for code symbol graphs. …
Read the whole file at its exact version.
How to install
mdr add arasz/ai-badger/semantica-knowledge-graph@sha256:f714f33ef9920146The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_rjhumunefq6i6vra)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 13, 2026 and Aug 28, 2026, about one every 4 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-28 | 60d4b26 | 4,997 B | A | view · diff |
| v0.1.0 | 2026-08-23 | 35d066e | 4,965 B | A | view · diff |
| v0.1.0 | 2026-08-20 | 8a41a12 | 5,042 B | A | view · diff |
| v0.1.0 | 2026-08-18 | c248022 | 4,623 B | A | view · diff |
| v0.1.0 | 2026-08-13 | e2b95ea | 4,244 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4997 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
arasz/ai-badger · 3 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rjhumunefq6i6vra GET https://markdownregistry.com/api/v1/resolve?ref=arasz/ai-badger/semantica-knowledge-graph GET https://markdownregistry.com/api/v1/blob/f714f33ef99201461c1e5acb3a323ba5454365b537cfefe40e4d655ee26c8c70
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.