graph.analytics.lcc

A graph command that calculates each node's local clustering coefficient: the share of pairs among its neighbors that are connected to each other.

In plain words
What is it for?
Use it to measure local connectivity in a graph, including on a consistent or historical snapshot.
Why use it?
It shows how tightly each node's immediate neighborhood is connected.

Command

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.

agentmods
npx agentmods add commands/stratalab/strata-core/graph.analytics.lcc
Clone the repo
git clone --depth 1 https://github.com/stratalab/strata-core
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 93 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00093
Opus 5 $0.00000 $0.00046
Sonnet 5 $0.00000 $0.00019
Haiku 4.5 $0.00000 $0.00009

Measured yesterday against content hash 78bad3233fd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

graph.analytics.lcc 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 yesterday.

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.

crates/executor/idl/v1/prose/commands/graph.analytics.lcc.md · 7 lines

What it actually says

Computes the local clustering coefficient for every node over a consistent snapshot: the fraction of a node's neighbor pairs that are themselves connected. Nodes in fully-triangulated neighborhoods score 1.0. Accepts an optional snapshot budget and as_of for time travel.

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. yesterday First seen · 7 lines · 0 tokens per session scan A 78bad3233fd9

Subscribe to this mod's changes

graph.analytics.lcc is a command published in the GitHub repository stratalab/strata-core (2 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 93 tokens. 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.