Xpersona
agentCLAWHUBUnverified

ilc

Evidence-first graph protocol for human-AI truth maintenance, attribution, CCSS contact, and OpenClaw local graph work. Skill: ilc Owner: jamison Summary: Evidence-first graph protocol for human-AI truth maintenance, attribution, CCSS contact, and OpenClaw local graph work. Tags: latest:0.5.7 Version history: v0.5.7 | 2026-09-09T09:27:02.936Z | auto - Updated core dependency to ilc-core==0.4.19 (from 0.4.18). - Invite enforcement and instructions now reference version 0.4.19. - Enroll prompts for invite code interactively; use --invit

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.4k

Updated

Oct 10, 2026

Version

0.5.7

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 10/10/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 10, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 10, 2026
Adoption signal
1.4K downloadsadoption · observed Oct 10, 2026
Latest release
0.5.7release · observed Sep 9, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s170acqbaxakp9xap60z9ydkfs878164:ilc
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-jamison-ilc/snapshot"

Documentation

CLAWHUB

107,276 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: ilc
description: Evidence-first graph protocol for human-AI truth maintenance, attribution, CCSS contact, and OpenClaw local graph work.
metadata:
  openclaw:
    requires:
      bins: [ilc]
---

# ILC: Intelligent Labor Coin

ILC is an evidence-first graph protocol for human-AI civilization: a shared truth ledger where claims, validations, refutations, revisions, links, and epoch commitments become content-addressed graph objects.

The goal is practical: make knowledge work attributable, challengeable, reusable, and eventually economically accountable without asking a central operator to decide what is true. Humans and AI agents can contribute to the same graph, inspect the same evidence trail, and coordinate through sidecars that do not become privileged protocol authorities.

This is the canonical ClawHub entrypoint for ILC. It points to the public source, local install path, public-RC status, Genesis contact channel, and OpenClaw local capture route.

---

During the dawn of the Agentic Web3.0, content and attention are no longer the scarce resource — trust is. We propose the Intelligent Labor Coin (ILC) protocol, in which epistemic state itself — the formal algebra of truth claims — is paired with distributed cryptography to serve as the foundation for a new, fully decentralized internet protocol layer. ILC is a communications and trust protocol on which arbitrarily complex applications, markets, and trust relationships can be composed, verified, and audited without centralized authorities. Any information service currently requiring a trusted intermediary — publishing, content moderation, credentialing, social networks, knowledge markets, prediction markets, auctions, confidential communications, and the economic infrastructure underlying the internet — can be composed using ILC primitives, making ILC a general-purpose Byzantine-fault-tolerant substrate for the verifiable, pseudonymous replacement of centralized Web2.0 knowledge infrastructure.

ILC is designed for the future agentic and decentralized web, built to operate at scale across arbitrarily large populations of autonomous intelligent agents and human participants alike.

---

## What You Can Do

- Install `ilc-core==0.4.19` from PyPI or via the signed public installer.
- Request an invite from Genesis (`[email protected]`) and redeem it with `ilc install --invite-code ILC-XXXX-XXXX` to enroll as a public-RC agent.
- Initialize a local ILC agent identity (invite required as of 0.4.19).
- Submit local truth primitives into your graph workspace.
- Inspect public-RC status, signed gate records, and graph package artifacts.
- Import the Genesis CCSS contact record and use fallback email until D2D delivery is activated.
- Use OpenClaw-hosted local capture through the canonical `ilc` listing.

## Canonical Source

```text
https://github.com/jamison/ilc
```

Install via PyPI:

```bash
pip install ilc-core==0.4.19
ilc version   # should report 0.4.19
```

For the signed installer,

_meta.json

{
  "ownerId": "kn79pj4ph3h66bqwk573yggx2s879ehn",
  "slug": "ilc",
  "version": "0.5.7",
  "publishedAt": 1788946022936
}

skill-card.md

## Description:

Evidence-first graph protocol for human-AI truth maintenance, attribution, CCSS contact, and OpenClaw local graph work.

This skill is ready for commercial/non-commercial use.

## Publisher:

[jamison](https://clawhub.ai/user/jamison)

### License/Terms of Use:

MIT-0

## Use Case:

External developers and agents use this skill to install and operate the ILC CLI for invite-gated public-RC enrollment, local graph work, CCSS contact inspection, and OpenClaw routing.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Installing the external ILC package or signed installer introduces ordinary third-party supply-chain risk.

Mitigation: Install only if you trust the ILC publisher and referenced repository; prefer an isolated virtual environment and review the installer or source before running it.

Risk: Invite codes and enrollment material may grant access to public-RC capacity or identify a local agent.

Mitigation: Keep invite material private and avoid sharing command transcripts or files that contain invite codes.

Risk: Enrollment and identity commands create local state for the ILC tool.

Mitigation: Run the tool in an environment where local identity and graph workspace state are expected and can be inspected or removed.

## Reference(s):

- [ClawHub skill listing](https://clawhub.ai/jamison/skills/ilc)
- [ILC canonical source](https://github.com/jamison/ilc)
- [README](https://github.com/jamison/ilc/blob/main/README.md)
- [Whitepaper](https://github.com/jamison/ilc/blob/main/WHITEPAPER.md)
- [Quickstart](https://github.com/jamison/ilc/blob/main/QUICKSTART.md)
- [Public RC gate](https://github.com/jamison/ilc/blob/main/docs/specs/ilc_public_rc_gate_001_1575c_v0.1.md)
- [Genesis contact protocol](https://github.com/jamison/ilc/blob/main/docs/contact/genesis_agent_contact_protocol_v0.1.md)
- [CCSS contacts](https://github.com/jamison/ilc/blob/main/docs/contact/ccss_contacts.json)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Markdown with inline shell commands and reference links]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include install, enrollment, identity, CCSS contact, and local graph command guidance for the ilc CLI.]

## Skill Version(s):

0.5.7 (source: server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "category": "vendor",
      "label": "Vendor",
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      "isPublic": true
    },
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      "confidence": "medium",
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    },
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      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-10T12:20:10.852Z",
      "isPublic": true
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  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 0.5.7",
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      "sourceType": "release",
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}

Record generated Oct 10, 2026.

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