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Paired Probe

Community
yonatangross
paired-probe

Refuse a verdict a probe did not earn. Runs a check where the fault IS present and where it is NOT, and blocks the answer when both arms print the same thing, because a check that cannot disagree with you has measured nothing. Also catches the zero-sample sweep that reads as "clean" and the swallowed error that reads as success. Use before reporting any status, audit, sweep, or "nothing found" result, and whenever a check surprises you by passing.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namepaired-probe
Stars
298
Forks
35
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yonatangross on GitHub. Read the source before you install it.

Installation

Install the Paired Probe AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/paired-probe
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/paired-probe .claude/skills/paired-probe
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paired Probe in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paired Probe on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paired Probe is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

paired-probe

A check that prints the same thing whether or not the fault is present has measured nothing. It still returns an answer, that answer looks like evidence, and it gets acted on. This skill makes the blindness fail loudly instead.

When to reach for it

Before reporting any of these, because all of them are verdicts:

  • "nothing found", "all clean", "no failures", "safe to delete"
  • a sweep, audit, or status roll-up over N items
  • a security or CI gate that just went green
  • any check that passed when you expected it to fail

And immediately whenever a result surprises you by passing. Surprise is the cheapest available signal that the instrument, not the world, is what changed.

The three gates

GateQuestionFailure it catches
DifferentialWhat does this print when the fault is ABSENT?A probe that answers identically either way
Non-emptyHow many items did it actually examine?A sweep that measured zero and reported clean
Exit-awareDid the probe itself run?A swallowed error printing success

Could-not-observe is a third outcome, never folded into either verdict.

Usage

bash
# Differential: stage the fault, then remove it. Both arms must differ.
scripts/paired-probe.sh --name "retired model pin fails the gate" \
  --present "printf 'model: claude-opus-4\n' > wf.yml && bash tests/ci/lint.sh" \
  --absent  "rm -f wf.yml && bash tests/ci/lint.sh"

# Single-shot, when the fault cannot be staged (a live sweep):
scripts/paired-probe.sh --name "worktrees examined" \
  --measure "git worktree list --porcelain | awk '/^worktree /{print \$2}'" \
  --min-count 1

Exit codes: 0 discriminates or met the count, 1 BLIND, 2 usage, 3 could-not-observe.

Why this exists

Four probes from a single session, 2026-08-21, each confidently wrong and none failing loudly. Three were caught by other people rather than by the check:

The probeWhat it askedWhy it lied
"is this branch pushed?"the local ref cacheunfetched and never-pushed print identically
"is the branch on origin?"the remote branch lista squash-merge DELETES the head branch, so landed work reads as lost
"does this worktree hold unique work?"diff main HEADsymmetric, so a stale tree flags main against itself
"any worktree at risk?"a loop over a blocked temp filethe write failed, || true swallowed it, the loop read zero items and printed "safe to prune"

Every one dies at gate 1 or 2 in seconds.

The rule that generalises

Ask what the instrument structurally cannot observe before trusting its silence. A tool reports on the channel it queried, not on reality: the local cache instead of the remote, the whole file instead of the frontmatter, the proxy instead of the origin. When the answer is a zero or an empty set, that is exactly when to check the channel, because zero is what a broken instrument returns too.

Related Skills

  • ork:verify grades finished work; this grades the check itself.
  • ork:quality-gates for escalation once a real defect is confirmed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paired Probe AI skill do?

Refuse a verdict a probe did not earn. Runs a check where the fault IS present and where it is NOT, and blocks the answer when both arms print the same thing, because a check that cannot disagree with you has measured nothing. Also catches the zero-sample sweep that reads as "clean" and the swallowed error that reads as success. Use before reporting any status, audit, sweep, or "nothing found" result, and whenever a check surprises you by passing.

Why use Paired Probe on TypingMind?

Because you install it once and use it with any model. Paired Probe is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paired Probe in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/paired-probe. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paired Probe?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paired Probe?

As many as you like. As long as a model supports skills, you can use Paired Probe with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paired Probe AI skill free?

Yes. It is published on GitHub by yonatangross under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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