project-05-body

project-05-body is a skill for OpenCode from DanielHashmi/Q4_learning. It costs 19 tokens per session (146 once invoked), scanned A, original, no licence file.

A procedure for running one isolated Project 5 candidate through a maker-and-checker workflow.

In plain words
What is it for?
Use it to process one Project 5 candidate through implementation and checking.
Why use it?
It organizes the fix and review steps around a single candidate, reducing the chance of mixing unrelated changes.

Skill for OpenCode

Written for OpenCode: installed under .opencode/.

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 skills/danielhashmi/q4_learning/project-05-body
Any agent
npx skills add DanielHashmi/Q4_learning --skill project-05-body
Clone the repo
git clone --depth 1 https://github.com/DanielHashmi/Q4_learning

Made for: OpenCode.

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 project-05-body

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielhashmi/q4_learning/project-05-body.svg)](https://agentmods.dev/skills/danielhashmi/q4_learning/project-05-body)
Your own site
<a href="https://agentmods.dev/skills/danielhashmi/q4_learning/project-05-body"><img src="https://agentmods.dev/badge/skills/danielhashmi/q4_learning/project-05-body.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 146 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 $0.00019 $0.00146
Opus 5 $0.00010 $0.00073
Sonnet 5 $0.00004 $0.00029
Haiku 4.5 $0.00002 $0.00015

Measured 6d ago against content hash b1bc69cecc44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

project-05-body 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 6d 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.

loop-engineering/projects/05-codify-body/.opencode/skills/project-05-body/SKILL.md · 16 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. 6d ago First seen · 16 lines · 19 tokens per session scan A b1bc69cecc44

Subscribe to this mod's changes

project-05-body is a skill published in the GitHub repository DanielHashmi/Q4_learning (20 stars, last pushed yesterday), with no licence file. It adds 19 tokens to every session and 146 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 2026-08-30.

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