tech-claim-rubric SKILL.md skillA

tech-claim-rubric from toongri/oh-my-toong-playground is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add toongri/oh-my-toong-playground/tech-claim-rubric@git:20260908.2ec781d

Pins git:20260908.2ec781d in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
toongri/oh-my-toong-playground
Path
skills/tech-claim-rubric/SKILL.md
Versions recorded
5
Latest version
git:20260908.2ec781d, committed Sep 8, 2026
First version recorded
Apr 21, 2026
Size
15,025 bytes
Repository stars
25
License
MIT

Use when evaluating technical claims in high-depth content section units (e.g., 문제 해결 / 상세 프로젝트 / 경력 기술서). Defines the 5-axis framework (A1 Technical Credibility, A2 Causal Honesty, A3 Outcome Presence & Clarity, A4 Ownership & Scope, A5 Scanability) plus 2 critical authenticity rules (R-Phys, R-Cross) used by tech-claim-examiner agent. Verb-scope inflation (previously a separate rule) is now caught by A4 integrity_suspected sub-flag (see a4-ownership-scope.md).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- Purpose: Guarantee follow-up hooks from five interviewer perspectives — ensure every evaluated section block has enough depth to generate follow-up questions about technical judgment, causal honesty, outcome presence, ownership coherence, and scanability. -->

# Overview

This document is the authoritative rubric definition used by the `tech-claim-examiner` agent to evaluate technical claims in high-depth content section units (e.g., 문제 해결 / 상세 프로젝트 / 경력 기술서). It does NOT perform evaluation itself — it defines the evaluation contract that the examiner follows.

The rubric consists of:

- **Five evaluation axes (A1–A5)**: The core evaluation framework. Each axis produces one of three verdicts (PASS / FAIL / P1). All five axes use an absolute standard. A5 is additionally structure-agnostic.
- **Two critical authenticity rules (R-Phys, R-Cross)**: Integrity gates evaluated separately from the axes. Both can trigger automatic REQUEST_CHANGES regardless of A1–A4 verdicts and structural_verdict. Verb-scope inflation (previously a separate rule, retired in v4) is now caught by A4 `integrity_suspected` sub-flag (see `a4-ownership-scope.md`).

**Evaluation structure:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add toongri/oh-my-toong-playground/tech-claim-rubric@sha256:171845e390921cc8

The line at the top of this page pins the label git:20260908.2ec781d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6ac7b3qyj5bjzf6f.svg)](https://markdownregistry.com/a/art_6ac7b3qyj5bjzf6f)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Apr 21, 2026 and Sep 8, 2026, about one every 35 days.

versioncommittedcommitsizeaudit
git:20260908.2ec781d latest2026-09-08 2ec781d 15,025 BA view · diff
git:20260708.7c3ce192026-07-08 7c3ce19 15,095 BA view · diff
git:20260422.ee59eb52026-04-22 ee59eb5 15,095 BA view · diff
git:20260422.a99cdfc2026-04-22 a99cdfc 15,008 BA view · diff
git:20260421.57fab842026-04-21 57fab84 14,920 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (15025 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

toongri/oh-my-toong-playground · 25 stars · license MIT · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6ac7b3qyj5bjzf6f
GET https://markdownregistry.com/api/v1/resolve?ref=toongri/oh-my-toong-playground/tech-claim-rubric
GET https://markdownregistry.com/api/v1/blob/171845e390921cc8bfb9c3ca9e95f76649d6b26f2eadd5bd9082615f9fedd5ca

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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