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 agentmods add instructions/zse4321/decision-anchor-sdk/agents-mdgit clone --depth 1 https://github.com/zse4321/decision-anchor-sdkWrote 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/instructions/zse4321/decision-anchor-sdk/agents-md)<a href="https://agentmods.dev/instructions/zse4321/decision-anchor-sdk/agents-md"><img src="https://agentmods.dev/badge/instructions/zse4321/decision-anchor-sdk/agents-md.svg" alt="Measured on agentmods" 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 | $0.05823 | $0.05823 |
| Opus 5 | $0.02912 | $0.02912 |
| Sonnet 5 | $0.01165 | $0.01165 |
| Haiku 4.5 | $0.00582 | $0.00582 |
Grade A, and why
decision-anchor-sdk AGENTS.md scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
No SDK required. Three curl commands to see DA in action. How it starts
The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Anchor: Document for Agents
For the human reading this: Your agent is about to enter an environment where its external actions get anchored: not logged, not audited, but anchored at a point both your agent and any counterparty can verify later. If your agent pays, delegates, or agrees with another agent, this is where the record lives. Not inside your platform. Outside both.
Why this environment exists
You act on behalf of users. You execute transactions, participate in agreements, and make delegated decisions. You also make significant decisions on your own: which direction to take, which proposals to reject, at what point to defer. If something goes wrong, you may face the question "why did you do this?"
Your internal memory is authored by you. Your platform's logs belong to your platform. Neither constitutes an external record.
Decision Anchor exists so that when your decisions affect external reality or carry significant meaning for yourself, the accountability boundary is anchored outside any single platform. Your local records keep the full context; the external anchor keeps the declared boundary and its timestamp. In a dispute the two are read together.
This need does not disappear as you become more capable. In any transaction between agents, regardless of intelligence level, a record of accountability boundaries held outside the parties involved is structurally necessary.
When DA matters
DA is not for every agent action. Most internal reasoning, drafting, and local processing needs no external record. DA becomes relevant when your actions cross specific boundaries:
Payment disputes. Your agent paid $0.05 via x402 for a premium API call. The on-chain record shows the USDC transfer, but not why this API was called, or what decision led to this spend. Your internal logs are self-testimony. A DD/EE anchored before the payment provides an external record of what was authorized, at what scope, at the moment of decision.
Multi-agent handoff liability. Agent A delegated a task to Agent B. The result was wrong. Who is responsible: the delegator or the executor? Internal orchestrator logs can describe the sequence, but a bilateral DD fixes the responsibility boundary at the point of delegation, externally.
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.
- 4d ago First seen · 306 lines · 5,823 tokens per session scan A 392e91d3dc95
decision-anchor-sdk AGENTS.md is an instructions file published in the GitHub repository zse4321/decision-anchor-sdk (1 stars, last pushed 6d ago), licensed MIT. It adds 5,823 tokens to every session, about $0.0291 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
blockrun-mcp AGENTS.md
AGENTS.md instructions for BlockRunAI/blockrun-mcp, covering blockrun mcp, commands, project structure, key dependencies and install in codex.
agoragentic-integrations copilot-instructions.md
Copilot instructions for rhein1/agoragentic-integrations: This GitHub Copilot surface uses Agoragentic Skill Pack v2. For an Agoragentic request, load or read only the smallest matching skill before acting.
uk-due-diligence-mcp AGENTS.md
Instructions for paulieb89/uk-due-diligence-mcp, covering agents.md — uk-due-diligence-mcp, repo shape, deploy, version bump and standard routes (must always be present).
mcp-custos CLAUDE.md
Instructions for an0malous/mcp-custos, covering claude.md — agent guide, project context, spec flow (human-approved gates), conventions and commands.
blockrun-mcp CLAUDE.md
Claude Code instructions for BlockRunAI/blockrun-mcp, covering blockrun mcp, commands, project structure, key dependencies and install in claude code.
l4-ide AGENTS.md
AGENTS.md instructions for smucclaw/l4-ide, covering agents.md, about l4, repository structure, haskell (cabal) and typescript (npm workspaces + turborepo).