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 agentmods add skills/cyberelf/agent_skills/graphwikinpx skills add cyberelf/agent_skills --skill graphwikigit clone --depth 1 https://github.com/cyberelf/agent_skillsWrote 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/cyberelf/agent_skills/graphwiki)<a href="https://agentmods.dev/skills/cyberelf/agent_skills/graphwiki"><img src="https://agentmods.dev/badge/skills/cyberelf/agent_skills/graphwiki.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 | $0.00081 | $0.04726 |
| Opus 5 | $0.00041 | $0.02363 |
| Sonnet 5 | $0.00016 | $0.00945 |
| Haiku 4.5 | $0.00008 | $0.00473 |
Grade A, and why
graphwiki 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 5d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Graphwiki
Graphwiki builds and maintains a graph-backed knowledge wiki without installing a separate package. This skill contains the CLI at graphwiki.py and the bundled Python package under tool/.
Use this skill when the user asks to initialize, build, ingest, update, query, explain, answer from, report on, clean up, validate, cache, or extend a Graphwiki knowledge base. The user-facing entrypoint is the skill/agent, not the script; graphwiki.py is the internal executor that the skill calls after the agent decides what workflow is appropriate.
Operation Entrypoint
Users should ask the agent for operations such as "initialize this knowledge base", "update changed documents", "extract entities and build wiki pages", "query a concept relationship", or "generate an HTML report". The agent then selects the workflow and internally calls the bundled executor:
python /path/to/this/skill/graphwiki.py --root <project-root> <command>
Do not make the script the user's primary interface. The agent owns skill discovery, path substitution, command selection, and execution.
Load-Time Repo Guidance
When this skill is loaded, the agent should quickly inspect the current repository state and tell the user what kinds of requests are available:
- If
.graphwiki/graph.jsonis missing: suggest requests such as "initialize and build the knowledge base" or "index the documents undersource/." - If
source/exists but the graph has no semantic entities or wiki pages: suggest "extract entities and relationships concurrently and build wiki pages." - If
.graphwiki/GRAPH_REPORT.mdortasks nextshows pending/stale/orphaned/needs_update work: suggest "process pending tasks," "repair stale evidence," or "update affected pages." - If source documents were added or changed: suggest "run an incremental update and process only changed documents."
- If configured entity types are insufficient: suggest "recommend and confirm new entity types" or "add an entity type and re-scan existing sources."
- If the graph already has semantic entities: suggest "query entity relationships," "explain shortest paths," or "answer from the knowledge graph."
- If the user needs a deliverable: suggest "generate a standalone HTML report."
- If an answer combines multiple sources: suggest "save the answer as a synthesis knowledge page."
What ships with it
11 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.
- graphwiki.py 445 B runs code
- prompts/_AGENTS.md 239 B
- prompts/entity_extractor.md 8.4 KB
- prompts/html_report_generator.md 3.4 KB
- prompts/query_agent.md 4.5 KB
- prompts/README.md 2.4 KB
- schema/html-report-schema.md 12 KB
- schema/query-schema.md 3.7 KB
- schema/README.md 1.1 KB
- schema/wiki-page.schema.md 2.4 KB
- tool/graphwiki 51 B
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.
- 5d ago First seen · 244 lines · 81 tokens per session scan A d245b642f35a
graphwiki is a skill published in the GitHub repository cyberelf/agent_skills (2 stars, last pushed 10d ago), licensed MIT. It adds 81 tokens to every session and 4,726 once invoked, about $0.0004 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 2026-08-31.
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