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Per-surface verification loops for wenlan — daemon, cli, mcp, plugin, suite strength (mutation), behavior trace, weekly sweep. Routes to scripts; every check…
Delete a Wenlan memory by exact id from Codex. Destructive and confirmation gated. Invoked as /forget <source_id>.
$ npx -y skills add 7xuanlu/wenlan --skill forget --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/forgetContext preview
The summary Claude sees to decide when to auto-load this skill.
Delete a Wenlan memory by exact id from Codex. Destructive and confirmation gated. Invoked as /forget <source_id>.
name: forget description: > Delete a Wenlan memory by exact id from Codex. Destructive and confirmation gated. Invoked as /forget <source_id>. argument-hint: "<source_id>" allowed-tools: ["Bash", "mcp__wenlan__forget", "mcp__wenlan__recall"] user-invocable: true
Delete one memory by exact `source_id`.
This cannot be undone by Wenlan. Prefer `/capture` with a corrected memory when history should be preserved.
Always confirm with the user before calling forget, unless the same user message already includes an exact id and an unambiguous delete instruction.
If the id is missing, use `mcp__wenlan__recall` to find candidates or ask the user for the exact id. The confirmation reply must include the action and id:
delete <id>
A bare id is not confirmation.
After confirmation, call:
mcp__wenlan__forget(memory_id="<source_id>")
Delete only one memory per tool call. For bulk cleanup, use `/curate captures` so each item has its own decision.
After a successful delete, snapshot any Markdown projection changes. Best effort only:
git -C ~/.wenlan add -A && \
git -C ~/.wenlan -c user.name=Wenlan -c user.email=daemon@wenlan.local \
commit --quiet -m "forget: <source_id>" 2>/dev/null || \
(sleep 1 && git -C ~/.wenlan add -A && \
git -C ~/.wenlan -c user.name=Wenlan -c user.email=daemon@wenlan.local \
commit --quiet -m "forget: <source_id>" 2>/dev/null) || trueDo not fail the delete if this commit fails.
Wenlan is a knowledge base for the AI-native age. Your AI agents capture what they learn, Wenlan keeps it current and distills it into source-cited wiki pages you can trust
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