write-agent-memory-system-review

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Run only when analyse-agentic-system invokes the legacy review-publication workflow for a detected external memory, knowledge, or context-engineering system; do not select or invoke directly.

AI & Automation 88 stars 11 forks Updated yesterday CC-BY-4.0

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Skill Content

# Write Agent Memory System Review Publish or replace one legacy-collection `type: kb/agent-memory-systems/types/agent-memory-system-review.md` artifact from the frozen evidence boundary established by `analyse-agentic-system`, then run its established editorial QA and validation workflow. The artifact is a source-faithful, ontology-normalized account of the external system; current Commonplace implications are a separately commissioned transfer scan. This is a local Commonplace-repo publication subworkflow, not a public external-system analysis entry and not a promoted `cp-skill-*` framework skill. The invoking orchestrator owns the source boundary, mutation authority, artifact lifecycle, taxonomy and semantic QA, closing validation, and final report. A delegated worker owns only the new review draft and its first structural validation. Delegation means a harness-provided sub-agent or worker tool only. Never start a nested agent by running `codex`, `codex exec`, `claude`, or another agent CLI from the shell. If the harness cannot supply the required worker and the prepared packet does not authorize local drafting, stop before archiving an incumbent review; do not work around the limit with a command-line agent process. ## Prerequisites Every invocation carries the parent `AAS-*` run ID, selected subject and stable subject slug, frozen `SRC-*` register, and legacy-publication authority disposition. If publication is not authorized, return `not published — legacy review o...

Details

Author
zby
Repository
zby/commonplace
Created
6 months ago
Last Updated
yesterday
Language
Python
License
CC-BY-4.0

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