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Update to Codex Security

Snapshot Oct 7, 2026 · 06:02 UTC · version 0.1.32

WHAT CHANGED · RULE-BASED ANALYSIS

Package or technical metadata updated

Package contents changed in 77 files: .app.json, .codex-plugin/plugin.json, .mcp.json, …. Open the file diff to inspect the edits.

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

Package file

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Package file

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Changed files

.app.json →

.codex-plugin/plugin.json →

.mcp.json →

examples/completed-scan/report.md →

integrity.json →

mcp/helpers.mjs.br.part-000 →

mcp/native/THIRD_PARTY_NOTICES.txt →

mcp/native/darwin-arm64/unix.node →

mcp/native/darwin-x64/unix.node →

mcp/native/linux-arm64-gnu/unix.node →

mcp/native/linux-arm64-musl/unix.node →

mcp/native/linux-x64-gnu/unix.node →

mcp/native/linux-x64-musl/unix.node →

mcp/native/win32-arm64/windows.node →

mcp/native/win32-x64/windows.node →

mcp/server.mjs.br.part-000 →

mcp/server.mjs.br.part-001 →

references/artifact-storage.md →

references/config-preflight.md →

references/core-scan.md →

references/final-report.md →

references/scan-artifacts.md →

references/scan-contract.md →

references/threat-model.md →

schemas/coverage.schema.json →

schemas/scan-manifest.schema.json →

schemas/tools/scan-draft.schema.json →

scripts/config_preflight.py →

scripts/deep_scan_workbench.py →

scripts/filesystem_identity.py →

scripts/finalize_scan_contract.py →

scripts/finding_preview.py →

scripts/generate_in_scope_files.py →

scripts/generate_rank_input.py →

scripts/launch_codex_security_mcp →

scripts/normalize_candidates.py →

scripts/rank_preview.py →

scripts/report_projection.py →

scripts/snapshot_sqlite.py →

scripts/threat_model_projection.py →

scripts/windows_scan_local_files.py →

scripts/workbench/storage.py →

scripts/workbench_cli.py →

scripts/workbench_constants.py →

scripts/workbench_db.py →

scripts/workbench_finding_index.py →

scripts/workbench_native_indexes.py →

scripts/workbench_progress.py →

scripts/workbench_publication.py →

scripts/workbench_remediation.py →

scripts/workbench_saved_results.py →

scripts/workbench_scan_start.py →

scripts/workbench_scan_usage.py →

scripts/workbench_schema.py →

scripts/workbench_severity.py →

scripts/workbench_source_excerpt.py →

scripts/workbench_target.py →

scripts/workbench_target_state.py →

scripts/workbench_validation.py →

skills/assess-patch-risk/SKILL.md →

skills/assess-patch-risk/scripts/validate_patch_risk_assessment.py →

skills/attack-path-analysis/SKILL.md →

skills/deep-security-scan/SKILL.md →

skills/finding-discovery/SKILL.md →

skills/propose-security-hardening/references/proposal-format.md →

skills/security-diff-scan/SKILL.md →

skills/security-scan/SKILL.md →

skills/security-scan/references/desktop-scan.md →

skills/security-scan/references/scan-artifacts-and-ledger.md →

skills/threat-model/SKILL.md →

skills/track-findings/SKILL.md →

skills/track-findings/references/github-security-advisories.md →

skills/track-findings/references/jira.md →

skills/triage-finding/SKILL.md →

skills/triage-finding/agents/openai.yaml →

skills/triage-finding/references/ticket-intake.md →

skills/triage-finding/references/triage-result-contract.md →

references/final-report.md

--- before
+++ after
@@ -22,7 +22,9 @@
 
 For each finding, supply an evidence-supported lowercase vulnerability-family `ruleId`; `taxonomy: { category, cwe }` using its exact known CWEs; verified locations; and `provenance.source`, using `"local_plugin"` only when this plugin actually discovered the finding. Preserve genuine worker or source provenance and any existing canonical candidate identity in the finding extensions. A finding with no known CWE retains `cwe: []`; never invent a classification. Include optional `codeEvidence` only when its actual code is nonempty and every referenced evidence ID is present.
 
-For Standard scan drafts, including Deep worker results, and diff drafts, supply semantic coverage as `{ completeness, surfaces, explicitExclusions, deferred }`, with each surface using the actual `label` and one existing `disposition`. Mark coverage `partial` when a deferred item or `needs_follow_up` surface remains; preserve its real reason and supporting context. Each deferred item needs a meaningful reason; preserve any existing `id` or `candidateId`. The workbench derives a missing ID from its candidate identity or stable deferred-work details. Open questions may be nonempty strings or `{ question, followUpPrompt? }` objects. The workbench derives target and scope metadata, scope include and exclude paths, coverage mode and inventory strategy, finding identities and fingerprints, and surface IDs. Do not put those workbench-owned values or top-level coverage receipt references into the semantic draft.
+For Standard scan drafts, including Deep worker results, and diff drafts, supply semantic coverage as `{ completeness, surfaces, explicitExclusions, deferred }`, with each surface using the actual `label` and one existing `disposition`. Mark coverage `partial` when a deferred item or `needs_follow_up` surface remains; preserve its real reason and supporting context. Each deferred item needs a meaningful reason; preserve any existing `id` or `candidateId`. Use each deferred `id` only once per draft. The draft response includes the saved coverage. Copy its deferred IDs in later updates and closures; the workbench assigns missing IDs before saving a checkpoint. Open questions may be nonempty strings or `{ question, followUpPrompt? }` objects. The workbench derives target and scope metadata, scope include and exclude paths, coverage mode and inventory strategy, finding identities and fingerprints, and IDs for new surfaces. Preserve saved surface IDs in updates; omit the other workbench-owned values and top-level coverage receipt references from the semantic draft.
+
+To close a saved task, include `coverage.resolvedDeferred: [{ id, reason }]` in the final Standard or diff draft, using its saved ID and a completion reason. Update linked surfaces by saved ID and keep unfinished work in `deferred`. Tasks without saved IDs do not replace earlier work. Candidate-linked tasks require findings or terminal dispositions; redundant closure entries for those outcomes are ignored. Deep parents cannot close worker tasks. Original checkpoints remain unchanged. Report generation and sealing belong to completion, not deferred review work.
 
 During a host-backed scan, checkpoint saved findings and pending candidates with `complete: false`; a checkpoint is not a completed audit. After a final workbench-owned Standard or workbench-backed diff draft is accepted with `complete: true` (or the backwards-compatible omitted flag), or the Deep coordinator returns its parent scan's canonical manifest, call `complete_codex_security_scan({ scanId, handoffClaimToken? })` and use its returned completion metadata. An SDK-owned scan returns its unsealed canonical files without calling a completion tool or finalizer; the SDK owns completion and report generation. Read full canonical results only when explicitly requested. For a terminal/chat workflow without a `scanId` or completion tool, retain `python <plugin_dir>/scripts/finalize_scan_contract.py --scan-dir <scan_dir> --source-root <repo_root>` after writing the canonical JSON. Outside the SDK path, do not mark the scan goal complete until finalization succeeds and the generated report exists.
 
@@ -83,7 +85,7 @@
 
 `## Threat Model`
 
-Use the completed canonical `threatModel` when one exists. In any workflow that produced only `<context_dir>/threat_model.md`, including Workbench-backed diff scans, preserve that text exactly as `{ "summary": "<completed model text>" }` and include it in the canonical draft. Use the field mapping and scenario reconciliation in `threat-model.md` when building a generated canonical model; do not regenerate it from the final finding list. Preserve source citations, capability boundaries, deployment assumptions, and material unknowns. Finalization reads only the canonical threat-model object when projecting this section.
+Use the completed canonical `threatModel` when one exists. For a workflow that produced a Markdown model, retain the text exactly as `{ "format": "markdown", "content": "<completed model text>" }` in the canonical draft. A historical `<context_dir>/threat_model.md` may supply missing canonical content; it must not override a later canonical model. Use the field mapping and scenario reconciliation in `threat-model.md` when building a generated structured model; do not regenerate it from the final finding list. Preserve source citations, capability boundaries, deployment assumptions, and material unknowns. Finalization reads the canonical model when projecting this section and the root-level `threatmodel.md`. Exporting that saved model does not perform another analysis.
 
 `## Findings`
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