# provenance-substrate

> provenance-substrate — isaacsight-provenance-substrate. Use this tool when you need to create a transparent and auditable record of content creation and approval, utilizing content-addressed envelopes and hash-chained audits to ensure data integrity. It solves problems related to provenance, reproducibility, and peer review in various fields, such as research and finance. The tool takes in code and content, and outputs a signed and auditable ledger, making it ideal for use cases requiring secure and trustworthy data management.

Canonical page: https://skillsregistry.net/skills/isaacsight-provenance-substrate  
JSON: https://api.skillsregistry.net/v1/skills/isaacsight-provenance-substrate

## Description

The model proposes, deterministic code disposes, a human signs. Content-addressed envelopes, hash-chained audit, signed approval — for ledgers, Lean proofs, manuscript claims, reproductions, benchmarks, peer review. Conformance-tested; byte-compatible with @kernel.chat/kbot-finance.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/isaacsight/provenance-substrate)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "isaacsight-provenance-substrate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/isaacsight-provenance-substrate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/isaacsight-provenance-substrate/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt