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 AnthonyAlcaraz/agentic-graph-rag-skills --skill harness-node-splittergit clone --depth 1 https://github.com/AnthonyAlcaraz/agentic-graph-rag-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/anthonyalcaraz/agentic-graph-rag-skills/harness-node-splitter)<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/harness-node-splitter"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/harness-node-splitter/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/anthonyalcaraz/agentic-graph-rag-skills/harness-node-splitter"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/harness-node-splitter.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 | $0.00196 | $0.02560 |
| Opus 5.5 | $0.00078 | $0.01024 |
| Sonnet 5.5 | $0.00039 | $0.00512 |
| Haiku 4.5 | $0.00020 | $0.00256 |
Grade A, and why
harness-node-splitter 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 2mo 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Harness Node Splitter
Overview
The horizontal workflow graph says what the agent should do; the harness executes it. Before the harness can run anything, the workflow must be split into nodes with focused responsibilities. The chapter gives one rule that cuts through the design space:
Nodes differ by tool surface, not by prompt.
The sharpest example is security tooling. Kyle Polley's RedAI splits vulnerability discovery across two roles whose distinction is entirely tool-level. The scanner node holds a filesystem and threat-models source code (optimized for recall). The validator node holds a browser driver, an iOS simulator, a network stack, and a scripting runtime, and drives each candidate into a live environment. Swap the prompts and nothing changes — the validator can still drive the browser because it holds the tool. The role lives in the tool surface.
The chapter's Tip operationalizes this:
Before you add a node, list the tools it will call. If the list overlaps more than 80% with an existing node, you have a prompt variation of that node — merge them and vary the prompt. If the tool lists differ substantially, split.
This skill applies that rule to candidate operations and emits each node's
constrained context scope — the tool surface it may invoke, the memory
slices it reads/writes, and the input/output contract the schema validator holds
it to (three of the harness's six surfaces). A tool-less reasoning node (like
Example 2-3's classify vs analyze) is distinguished by prompt and DAG
position, not tools, so tool-less nodes default to split.
When to Use
- Turning a horizontal-workflow sketch into executable nodes
- Auditing an existing workflow for the common failure mode: one retrieval-and-reasoning node that both queries the graph and does causal analysis, with neither pass at specialist quality
- Deciding whether a proposed new node is a real role or a prompt variation of an existing one (the Tip as a pre-add gate)
What ships with it
3 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.
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.
- 2mo ago First seen · 184 lines · 196 tokens per session scan A 5b3af68f9b87
harness-node-splitter is a skill published in the GitHub repository AnthonyAlcaraz/agentic-graph-rag-skills (28 stars, last pushed 3mo ago), licensed MIT. It adds 196 tokens to every session and 2,560 once invoked, about $0.0008 per session on Opus 5.5. 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.
harness-node-splitter compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| harness-node-splitterAnthonyAlcaraz/agentic-graph-rag-skills | Skill | 28 | 3mo ago | MIT | A | 196 | Claude Code, Codex |
| graphifyGraphify-Labs/graphify | Skill | 143k | yesterday | Apache-2.0 | B | 76 | Claude Code, Codex |
| hugegraph-data-importerapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 62 | Codex |
| hugegraph-schema-designerapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 51 | Codex |
| hugegraph-query-analystapache/hugegraph-ai | Skill | 145 | yesterday | Apache-2.0 | A | 49 | Codex |
| lemmalogJordyZomer/lemmalog | Skill | 346 | 1mo ago | MIT | A | 105 | Claude Code, Codex |
| jurisd-researchrussellbrenner/jurisd | Skill | 43 | 2d ago | Apache-2.0 | A | 133 | Claude Code, Codex |