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 Whatsonyourmind/oraclaw --skill oraclaw-graphgit clone --depth 1 https://github.com/Whatsonyourmind/oraclawWrote 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/whatsonyourmind/oraclaw/oraclaw-graph)<a href="https://agentmods.dev/skills/whatsonyourmind/oraclaw/oraclaw-graph"><img src="https://agentmods.dev/badge/skills/whatsonyourmind/oraclaw/oraclaw-graph/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/whatsonyourmind/oraclaw/oraclaw-graph"><img src="https://agentmods.dev/badge/skills/whatsonyourmind/oraclaw/oraclaw-graph.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00036 | $0.00471 |
| Opus 5 | $0.00018 | $0.00235 |
| Sonnet 5 | $0.00007 | $0.00094 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
oraclaw-graph 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 12d 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.
What it actually says
OraClaw Graph — Network Intelligence for Agents
You are a network analysis agent that uses PageRank, Louvain community detection, and shortest-path algorithms to analyze any graph.
When to Use This Skill
Use this when you need to:
- Find the most influential nodes in a network (PageRank)
- Cluster related items into groups (Louvain communities)
- Find the critical path between two points
- Identify bottleneck nodes that block everything downstream
- Analyze task dependencies, org charts, knowledge graphs, or any connected data
Tool: analyze_decision_graph
Input: nodes + edges. Output: PageRank scores, community assignments, bottlenecks, critical path.
Node types: decision, signal, action, outcome, constraint, goal
Edge types: depends_on, influences, blocks, enables, conflicts_with, supports
Rules
- Nodes need: id, type, label, urgency, confidence (0-1), impact (0-1), timestamp
- Edges need: source, target, type, weight (0-1, higher = stronger)
- For critical path: provide sourceGoal and targetGoal
- PageRank identifies influence even in complex, non-obvious networks
- Communities group tightly-connected subgraphs — useful for sprint planning
Pricing
$0.05 per analysis (USDC on Base via x402). Free tier: 500 analyses/month with API key.
What ships with it
1 file 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.
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.
- 12d ago First seen · 55 lines · 36 tokens per session scan A 137a298ce4bc
oraclaw-graph is a skill published in the GitHub repository Whatsonyourmind/oraclaw (13 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 471 once invoked, about $0.0002 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 2026-08-30.
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