Sign Receipt logo

Sign Receipt

Organization
runxhq
sign-receipt

Bind an off-runtime action claim to opaque evidence locators in a signed Runx receipt without pretending Runx verified the external action.

Overview

Publisherrunxhq
Repositoryrunx
Skill namesign-receipt
Stars
105
Forks
109
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Sign Receipt 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/runxhq/runx/tree/main/skills/sign-receipt
  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/runxhq/runx.git /tmp/runx
mkdir -p .claude/skills
cp -r /tmp/runx/skills/sign-receipt .claude/skills/sign-receipt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sign Receipt 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 Sign Receipt 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 Sign Receipt 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.

Sign Receipt

Record a bounded attestation about something that happened outside Runx so a later governed run can cite exactly what was claimed, by whom, on which evidence, and for what reliance scope. The native Runx receipt signature proves the attestation packet was sealed without later modification. It does not prove the external action itself happened.

That distinction makes this skill useful without turning a signature into a fictional provider verifier. The actual proof remains in the referenced commit, provider object, approval record, transaction, or other evidence system.

When to use it

Use sign-receipt when an operator performed a legitimate off-runtime action and downstream automation needs a stable, auditable assertion about it. Examples include a manual console change, an externally approved decision, or a provider operation completed before a native adapter existed.

Do not use it to launder an unsupported claim, copy raw evidence into a receipt, or replace a provider readback surface that Runx can actually call. If the external record is available through a governed reader, prefer that stronger evidence path.

How it works

  1. Supply the action, named principal, exact claim, optional reliance scope, and bounded opaque evidence locators.
  2. Each evidence item names only a stable locator, SHA-256 digest, and what that evidence is asserted to prove. Raw messages, receipts, secrets, and personal records are not accepted.
  3. Native receipt.attest validates completeness, rejects duplicates and secret-shaped material, and computes a deterministic attestation digest.
  4. The normal Runx receipt signer seals that packet into the parent run.
  5. Later consumers can verify the receipt and decide whether its declared reliance scope is sufficient for their own action.

The skill never calls the provider named in the claim and never appends to an external ledger. Its signature mode and proof boundary are explicit in the result.

Inputs and result

  • action describes the external act without overstating its result.
  • principal identifies the actor named by the attestation.
  • claim is the exact assertion a later run may rely on.
  • evidence contains at most the declared number of {locator, digest, proves} records using lowercase sha256:<64 hex> digests.
  • scope narrows who or what may rely on the claim.

The runx.attestation.v1 packet returns ready_to_seal, needs_agent, or needs_more_evidence, a deterministic digest, redactions, and the explicit statement that no provider or external ledger was called. The sealed parent receipt—not the ready plan—is the signature evidence.

Stop conditions

  • Stop when action, principal, claim, or evidence identity is missing.
  • Reject malformed or duplicate locators and digests, raw evidence bodies, secret-shaped strings, or evidence that cannot say what it proves.
  • Do not claim independent verification, provider acknowledgement, delivery, settlement, or external ledger append.
  • Keep reliance scope narrow; a downstream skill still evaluates whether the attestation is adequate for its own consequential action.

Example

An operator manually changed a DNS record and stores the provider audit-event locator plus a digest of the exported record. The skill can seal the claim “record X was changed by principal Y” with those opaque refs. It cannot claim DNS propagation or provider verification unless the cited evidence and a later reader actually prove them.

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 Sign Receipt AI skill do?

Bind an off-runtime action claim to opaque evidence locators in a signed Runx receipt without pretending Runx verified the external action.

Why use Sign Receipt on TypingMind?

Because you install it once and use it with any model. Sign Receipt 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 Sign Receipt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/runxhq/runx/tree/main/skills/sign-receipt. 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 Sign Receipt?

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 Sign Receipt?

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

Is the Sign Receipt AI skill free?

Yes. It is published on GitHub by runxhq under the Apache-2.0 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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