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/stevepridemore/graph-memory/graph-findnpx skills add stevepridemore/graph-memory --skill graph-findgit clone --depth 1 https://github.com/stevepridemore/graph-memoryWhat 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 | $0.00036 | $0.00262 |
| Opus 5 | $0.00018 | $0.00131 |
| Sonnet 5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
graph-find 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 2d 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
The user wants to find specific patterns in the memory graph.
Arguments: $ARGUMENTS
Based on the argument:
contradictions — Call graph_contradictions MCP tool. Show each pair of conflicting facts with their evidence and detection date. Offer to resolve them.
stale — Call graph_entities MCP tool with min_confidence: 0.0, sort_by: "confidence", limit: 20. Show the weakest entities that may need reinforcement or pruning.
orphans — Call graph_entities MCP tool with sort_by: "last_seen", limit: 50. Filter the response for entities where edge_count is 0. Show these disconnected entities.
strongest — Call graph_entities MCP tool with sort_by: "confidence", limit: 20. Show the highest-confidence entities — the core of the knowledge graph.
If no argument is provided, show a brief menu of what's available and ask what they'd like to find.
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.
- 2d ago First seen · 22 lines · 36 tokens per session scan A f0fd433a52e2
graph-find is a skill published in the GitHub repository stevepridemore/graph-memory (2 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 262 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 2026-08-31.
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Use weekly or after major ingest sessions to check wiki health.
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