decision_guard

decision_guard is an agent for coding agents from elvismusli/onlyharness. It costs 0 tokens per session (41 once invoked), scanned A, original, no licence file.

A data-quality agent that writes a go-or-no-go verdict for a business decision.

In plain words
What is it for?
Use it when a business decision depends on whether the underlying data is trustworthy enough to act on.
Why use it?
It turns data-quality findings into a direct judgment about whether the decision should proceed.

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/elvismusli/onlyharness/decision_guard
Clone the repo
git clone --depth 1 https://github.com/elvismusli/onlyharness

Wrote 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.

agentmods badge for decision_guard

README.md
[![agentmods](https://agentmods.dev/badge/agents/elvismusli/onlyharness/decision_guard.svg)](https://agentmods.dev/agents/elvismusli/onlyharness/decision_guard)
Your own site
<a href="https://agentmods.dev/agents/elvismusli/onlyharness/decision_guard"><img src="https://agentmods.dev/badge/agents/elvismusli/onlyharness/decision_guard.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 41 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 5.1 $0.00000 $0.00041
Opus 5 $0.00000 $0.00020
Sonnet 5 $0.00000 $0.00008
Haiku 4.5 $0.00000 $0.00004

Measured 4d ago against content hash 91f8c78f5f30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

decision_guard 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 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.

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.

seed-harnesses/data-quality-sentinel/agents/decision_guard.md · 7 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 7 lines · 0 tokens per session scan A 91f8c78f5f30

Subscribe to this mod's changes

decision_guard is an agent published in the GitHub repository elvismusli/onlyharness (0 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 41 tokens. 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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