Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/widnyana/eyay-toolkitsnpx agentmods add skills/widnyana/eyay-toolkits/graph-protocolWrote 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/widnyana/eyay-toolkits/graph-protocol)<a href="https://agentmods.dev/skills/widnyana/eyay-toolkits/graph-protocol"><img src="https://agentmods.dev/badge/skills/widnyana/eyay-toolkits/graph-protocol/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/widnyana/eyay-toolkits/graph-protocol"><img src="https://agentmods.dev/badge/skills/widnyana/eyay-toolkits/graph-protocol.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.03431 |
| Opus 5.5 | $0.00027 | $0.01372 |
| Sonnet 5.5 | $0.00014 | $0.00686 |
| Haiku 4.5 | $0.00007 | $0.00343 |
Grade A, and why
graph-protocol 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.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Source: Graph Protocol by r17x, from https://gist.github.com/r17x/90eb2f7be93932b5693753aedb09c01a (
OPT_GRAPH_PROTOCOL.md). Method text bundled as-is. The block formats at the end (execution graph, AGENT SUBGRAPH, IMPLEMENTED GRAPH, retry and evolution) are taken from r17x's "Meta Research Prompt Generator" (meta-research.md) and made generic for any delegated task.
Graph Protocol
The same method, turned on the orchestration. A task is not a checklist — it is a graph with nodes, edges, and channels, and the delegation you write is the subgraph the worker walks.
Design Thinking answers what flows through the program. Graph Protocol answers what flows through the orchestration. Same three-channel discipline: one channel for the work, one channel for where delegation breaks, one channel for what each agent needs.
X → Graph → Delegation<A, E, R>
│ │ │ │ │
│ │ │ │ └─ what each agent needs (§5)
│ │ │ └──── where the delegation breaks (§4)
│ │ └─────── what flows through agents (§2)
│ │
│ └─ nodes = tasks, edges = data dependencies
│
└─ the problem: what you're trying to build
§1 Task Nodes the nouns: files, modules, domains, workers
§2 A happy path as execution graph
§3 Cardinality one worker (SMALL) or many (MEDIUM/LARGE)
§4 E break points: wrong context, missing input, misinterpretation
§5 R requirements: subgraph, design method, verification, WHY
§6 Boundary subgraph in, implemented graph out — structured at edges
§7 Behavior observe wraps delegation without changing the graph
§8 Scope worker attention is acquired and must be released
§9 Proof compare delegated subgraph vs implemented graph
§10 Structure prompt = subgraph, return = implemented graph
Read the problem. Draw the task flow as an execution graph. Delegate work that IS the subgraph. If the implemented graph does not match the delegated subgraph, the delegation is wrong.
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 Changed · +74 lines · -33 tokens per session 448d73379a00
- 17d ago Changed · +1 lines 4d121f98577d
- 1mo ago First seen · 239 lines · 101 tokens per session scan A 26d4297cdf6e
graph-protocol is a skill published in the GitHub repository widnyana/eyay-toolkits (8 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 3,431 once invoked, about $0.0003 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.
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