Home / habitat-thinking / ai-literacy-superpowers · ai-literacy-superpowers/skills/verification-slots/SKILL.md · GitHub

verification-slots skillA

verification-slots is agent-read markdown (skill) from habitat-thinking/ai-literacy-superpowers: This skill should be used when the user asks about "verification slots", "integrating a linter", "adding a deterministic tool", "harness-enforcer", "constraint enforcement interface", "wrapping a tool", or needs the technical reference for how deterministic and agent-based checks work in the harness framework..

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

# Verification Slots

The verification slot is the harness framework's core technical
abstraction. Every constraint — whether backed by a linter, a formatter,
a structural test, or an LLM agent — is checked through the same
interface. This uniformity means the rest of the system (hooks, CI,
commands) does not care how a constraint is verified.

## The Contract

**Input:**

- Constraint definition (rule, enforcement type, tool)
- Scope (commit, pr, weekly, manual)
- File set (changed files, or all files)

**Output:**

- Result: `pass` or `fail`
- Findings: list of `{file, line, message}` (empty on pass)

## How the Enforcer Decides

The `harness-enforcer` agent reads each constraint from HARNESS.md and
dispatches verification based on the `enforcement` field:

| Enforcement | What happens |
| --- | --- |
| `deterministic` | Execute the `tool` command, interpret exit code |
| `agent` | Read the `rule` text, review files, produce findings |
| `deterministic + agent` | Run both, merge findings |
| `unverified` | Skip — log as unchecked |

## Deterministic Tool Integration

To fill a verification slot with a deterministic tool:
…

Read the whole file at its exact version.

How to install

Latest version
mdr add habitat-thinking/ai-literacy-superpowers/verification-slots@git:20260622.a7cdbe1
Exact content
mdr add habitat-thinking/ai-literacy-superpowers/verification-slots@sha256:043921e3a8883ff3

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:20260622.a7cdbe1 latest2026-06-22 a7cdbe1 4,384 BA view · diff
git:20260406.60a61ca2026-04-06 60a61ca 3,099 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 (4384 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

habitat-thinking/ai-literacy-superpowers · 106 stars · license NOASSERTION · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xr7tg52ubxjto6an
GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/verification-slots
GET https://markdownregistry.com/api/v1/blob/043921e3a8883ff3ffb871789309484f92c2dfaefe3b8795ab40b78b8cb3cb11

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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