docs(governance): propose forensic output conventions (produced_by + process_breakpoint)#793
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WalkthroughTwo new YAML documents are added: a promoted audit finding ( ChangesForensic Output Authorship Audit and Governance Proposal
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🧹 Nitpick comments (1)
governance/proposals/PROP-20260614-forensic-output-authorship.yaml (1)
14-28: ⚖️ Poor tradeoffSpecify the formal schema and data structure for produced_by and process_breakpoint conventions.
The generalization section describes the two conventions in prose, but lacks the formal schema that downstream adopters will need to implement consistently:
produced_by (lines 20-21): Shown as
{ agent, model, date }but missing:
- YAML field names and structure (is it
produced_by: { agent: "...", model: "...", date: "..." }? Orproduced_by: "agent@model:date"?)- Data type constraints (are model and agent strings? enum values? Is date ISO 8601?)
- Required vs. optional fields (must all three be present, or only some?)
- An example frontmatter snippet
process_breakpoint (lines 22-24): Shown with parenthetical examples (incomplete story, context-less handoff, unvalidated input, environment) but missing:
- Enumerated allowed values (is this an open set, or a fixed enum?)
- Whether a single finding can have multiple breakpoints (array or scalar?)
- YAML format (string? array of strings? object?)
- Guidance on when to assign multiple vs. one value
Recommend adding a "Schema" subsection to generalization or deferring formal schema to the rule doc output-conventions.md. Without this, implementations risk inconsistent tagging.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@governance/proposals/PROP-20260614-forensic-output-authorship.yaml` around lines 14 - 28, The generalization section describes the produced_by and process_breakpoint conventions in prose but lacks formal schema definitions needed for implementation. Add a "Schema" subsection under generalization that specifies for produced_by: the exact YAML field names, data types (e.g., whether agent and model are strings or enums, whether date is ISO 8601), which fields are required versus optional, and a concrete example showing the frontmatter structure. For process_breakpoint, specify whether it is an enumerated set of allowed values or an open set, whether it accepts a single value or an array of multiple breakpoints, the exact YAML type and format, and explicit guidance on when to assign one value versus multiple. This formal schema should enable downstream adopters to implement the conventions consistently without ambiguity.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Nitpick comments:
In `@governance/proposals/PROP-20260614-forensic-output-authorship.yaml`:
- Around line 14-28: The generalization section describes the produced_by and
process_breakpoint conventions in prose but lacks formal schema definitions
needed for implementation. Add a "Schema" subsection under generalization that
specifies for produced_by: the exact YAML field names, data types (e.g., whether
agent and model are strings or enums, whether date is ISO 8601), which fields
are required versus optional, and a concrete example showing the frontmatter
structure. For process_breakpoint, specify whether it is an enumerated set of
allowed values or an open set, whether it accepts a single value or an array of
multiple breakpoints, the exact YAML type and format, and explicit guidance on
when to assign one value versus multiple. This formal schema should enable
downstream adopters to implement the conventions consistently without ambiguity.
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📒 Files selected for processing (2)
audits/promoted/AF-20260614-forensic-output-authorship.yamlgovernance/proposals/PROP-20260614-forensic-output-authorship.yaml
Summary
This proposes two small forensic output conventions — submitted through the project's own
governance/evolution-pipeline.mdas anAuditFinding+FrameworkProposal(bothPENDINGyour approval). Two governance YAML files; no code paths touched.The gap
The framework has an evolution pipeline that wants to know who/which model produced an artifact and which findings recur — but there's no mechanism that captures either. Today:
The proposal
Two additive, advisory-by-default conventions:
produced_by— every agent-generated artifact carriesproduced_by: { agent, model, date }in its frontmatter. Forensic provenance.process_breakpoint— every gate with a non-PASSverdict tags, per issue, where the error was born (incomplete story? context-less handoff? unvalidated input? environment?). Closing principle: fix the process, not the symptom.Why it's good for the project
produced_byis the provenance the pipeline needs (input to model-tiering / validation sampling), andprocess_breakpointsurfaces the recurring failure points that become promotion candidates.Submitted in the spirit of the framework's own evolution pipeline. Happy to follow up with the implementation PR (
.claude/rules/output-conventions.md+ template frontmatter) once approved — or to adjust scope per your guidance.Summary by CodeRabbit