Home / aiimagined / godmode · skills/godmode-evidence/SKILL.md · GitHub

godmode-evidence skillA

godmode-evidence is agent-read markdown (skill) from aiimagined/godmode: Shape a claim so its citations grade the first time: reflect it against the record, cite exit-bearing commands through `--verify`, give a hypothesis its `--refuted-by` falsifier, run falsifiers that aged past due, repair stale or loose citations, and resolve the claim once with fresh evidence. Use when a claim keeps being downgraded, a Stop gate keeps blocking on unsupported sentences, or cited evidence has drifted. Not for a second audit of a pass already accepted, and not for root-causing a fa.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Godmode Evidence

## Outcome

A claim lands at the grade it asks for on the first attempt, because its
citations are shaped to be graded rather than argued: exit-bearing commands
run through `--verify`, a hypothesis names what would kill it, stale and
loose citations are repaired from the record instead of re-asserted, and a
claim is resolved once, with evidence it did not already have.

## Use

- A claim was downgraded (to observed or hypothesis) and the cite needs reshaping rather than a wrapper script.
- The Stop gate keeps blocking on sentences with no claim record behind them.
- A hypothesis-grade claim has no falsifier, or its falsifier has aged past due unrun.
- Evidence a standing claim cited has changed, vanished, or come loose from a rewritten commit.
- A claim has been settled and should be resolved held, failed or superseded.

## Do Not Use

- Independently rechecking a verdict another pass already accepted - that is `godmode-second-look`.
- Root-causing a crash or a red suite - that is `godmode-investigation`.
- Merging changelog fragments or building a version's release notes - that is `godmode-changelog`.

## Deterministic Execution Flow
…

Read the whole file at its exact version.

How to install

Latest version
mdr add aiimagined/godmode/godmode-evidence@git:20260923.51b2535
Exact content
mdr add aiimagined/godmode/godmode-evidence@sha256:d5dd16413210845e

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260923.51b2535 latest2026-09-23 51b2535 5,072 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5072 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

aiimagined/godmode · 6 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ufkjcxyhkkuivucv
GET https://markdownregistry.com/api/v1/resolve?ref=aiimagined/godmode/godmode-evidence
GET https://markdownregistry.com/api/v1/blob/d5dd16413210845e3585803b84b5158c9367138fa76bf1b2d06bee7a1bd80f71

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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