Proposal: PIC Standard — Pre-Execution Action-Boundary Verification for AI Agents (Sandbox)#105
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Signed-off-by: madeinplutofabio <fabio@madeinpluto.com>
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Hi TAC, just checking in on review timeline for this proposal. Happy to present at the next TAC meeting or provide any additional information needed. Thank you. |
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Project Proposal: PIC Standard
Proposing the PIC Standard (Provenance & Intent Contracts) for LF AI & Data Foundation Sandbox stage.
PIC is an open-source (Apache 2.0) pre-execution action-boundary verification primitive for AI agents. Before a high-impact tool call executes, the agent emits a structured Action Proposal (intent, impact, provenance, claims, evidence, action), and the verifier resolves it against a verifiable causal chain — claim → evidence → trusted provenance — failing closed if the chain is invalid or insufficient for the declared impact class.
Key stats: Python reference verifier + CLI, 5 first-party integrations (LangGraph, MCP, OpenClaw, Cordum, HTTP bridge), frozen PIC Canonical JSON v1 with published conformance suite + CI runner, cryptographically-signed releases (PEP 740 attestations + Ed25519-signed git tags), 80% Python statement-coverage gate enforced in CI, OpenSSF Best Practices Silver badge, RFC-0001 defensive publication (Zenodo DOI 10.5281/zenodo.18725562).
Repository: https://github.com/madeinplutofabio/pic-standard
Governance: https://github.com/madeinplutofabio/pic-standard/blob/main/GOVERNANCE.md
Maintainer: Fabio Marcello Salvadori (@madeinplutofabio, MadeInPluto), project creator. Actively recruiting co-maintainers — TypeScript reference verifier, normative-semantics spec drafts, and deeper integration stewardship are open areas.
Foundation engagement context: PIC was previously submitted to the AAIF Growth process (AAIF review thread). The outcome did not approve hosting at that stage, but the feedback clarified PIC's positioning as a pre-execution action-verification contract distinct from runtime policy enforcement and post-execution receipt/audit, while identifying org-readiness items such as multi-organization maintainership and named production adopters. PIC is filing at LF AI Sandbox because Sandbox is the better maturity stage for developing those governance and adoption foundations under neutral stewardship.