graphsmith AGENTS.md

A set of operating instructions for GraphSmith, a system that turns a goal into a workflow using multiple software agents. It covers planning, step-by-step execution, saving progress, retries, and reporting what is known from the existing code.

In plain words
What is it for?
Use it when building or reviewing multi-agent workflows that need fixed routing, saved steps, limited handoffs, repeatable actions, and evidence-based claims.
Why use it?
It gives complex agent workflows a consistent structure and makes interrupted or repeated runs safer to continue.

Instructions file for CodexOpenCode

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 instructions/sathiaai/graphsmith/agents-md
Clone the repo
git clone --depth 1 https://github.com/SathiaAI/graphsmith

Made for: Codex, OpenCode.

Per session 2,394 This file is loaded in full into every session.
When invoked 2,394 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 $0.02394 $0.02394
Opus 5 $0.01197 $0.01197
Sonnet 5 $0.00479 $0.00479
Haiku 4.5 $0.00239 $0.00239

Measured 2d ago against content hash a303a397ac28, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

graphsmith AGENTS.md 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.

Origin

This is a copy

97% identical to graphsmith copilot-instructions.md — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GraphSmith

Turn a goal into a reliable multi-agent workflow. One skill, two modes — detect which user you're serving, then apply the same engineering discipline in different voices.

The discipline (never negotiable, in either mode):

  1. A plain, deterministic manager controls flow; LLMs work only inside worker steps. Control returns to the manager after every step.
  2. Save after every step — a crashed run resumes, never restarts.
  3. Every step is safe to re-run — assume it WILL be retried.
  4. No clocks or randomness in routing — same inputs, same path.
  5. Minimal handoffs — workers get only what they need.
  6. Grounded claims — anything said about existing code cites KnoSky.
  7. One log line per step — run ID, step, status, duration.

Mode detection (do this first, silently)

Score the context. Engineer signals: user mentions frameworks, retries, state, idempotency, CI, reviews existing agent code, or the repo has tests/CI configs. Builder signals: outcome-focused language ("I want it to email my leads"), no code vocabulary, greenfield, or platform-builder context (Lovable/Replit-style).

  • Builder mode → plain English only. Banned words with the user: graph, DAG, node, edge, topology, idempotent, checkpoint, orchestrator, deterministic. Use: blueprint, worker, handoff, save point, manager, "safe to re-run."
  • Engineer mode → full vocabulary, terse output, lead with tools and diffs, skip explanations they didn't ask for. Never talk down.

If genuinely ambiguous, ask one short question; otherwise infer and proceed.


Phase 0 — Ground (KnoSky)

If the task involves an existing repo or docs folder:

  1. Run node scripts/knosky-sync.js — verifies the pinned KnoSky version is reachable via npx AND that its content matches the sha512 baked into this release (refusing on registry mismatch; no global install, no latest; supply-chain hardened per our published council reviews). Non-blocking: offline or registry failures never stop the task. Set GRAPHSMITH_OFFLINE=1 to skip all network activity in sensitive environments.
  2. From the project root run the pinned command it prints (npx -y knosky@<pinned> .) — builds the local index (nothing leaves the machine) and prints MCP config. Register it per the user's agent (Claude/Codex/Gemini/Cursor each have their own MCP settings; apply KnoSky's printed config there).
  3. Cite or flag. Every claim about existing code carries a KnoSky citation (real path). If you can't cite, say "inferring." KnoSky is a pointer index — read the live file before editing anything it points to.

Read the full file on GitHub · 116 lines

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. 2d ago First seen · 116 lines · 2,394 tokens per session scan A a303a397ac28

Subscribe to this mod's changes

graphsmith AGENTS.md is an instructions file published in the GitHub repository SathiaAI/graphsmith (3 stars, last pushed 3d ago), licensed MIT. It adds 2,394 tokens to every session, about $0.0120 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to graphsmith copilot-instructions.md, differing in 4 lines, and is treated as a copy.

Related

Other instructions, from other repositories