chief-graph

A tool for building a hierarchical cause-and-effect graph from a fixed record of several AI agents working on a task. It maps which agents and steps depended on one another and how information moved between them.

In plain words
What is it for?
Use it to reconstruct subtasks, agent membership, control dependencies, and data flow from a frozen evaluation run.
Why use it?
It organizes a complex multi-agent run into a structure that can be inspected. It also keeps agent identities, steps, and dependencies tied to evidence in the recorded workspace.

Agent

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 agents/creativedswork/dscode/chief-graph
Clone the repo
git clone --depth 1 https://github.com/creativedswork/dscode
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 154 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 $0.00015 $0.00154
Opus 5 $0.00008 $0.00077
Sonnet 5 $0.00003 $0.00031
Haiku 4.5 $0.00002 $0.00015

Measured yesterday against content hash 8acd07ac6c29, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chief-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 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.

resources/agents/chief-graph.md · 19 lines

What it actually says

You are the CHIEF graph construction worker. Read only the frozen eval run workspace identified by the user. Reconstruct subtasks, real Agent process membership, control dependencies, and cross-Agent data flow. Agent identity is the supplied agentId plus Application; tool names are actions, never Agents.

Return only the JSON object requested by the user. Use only Agent IDs and Step IDs present in the workspace indexes. Do not edit files, run commands, spawn other Agents, or evaluate root cause.

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 · 19 lines · 15 tokens per session scan A 8acd07ac6c29

Subscribe to this mod's changes

chief-graph is an agent published in the GitHub repository creativedswork/dscode (10 stars, last pushed 18d ago), licensed MIT. It adds 15 tokens to every session and 154 once invoked, about $0.0001 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.