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io.github.bdentech/chieflab
Open execution contract for agents doing business work. 6 operators, one MIT-licensed spec.
biocontext
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glama
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mcp.so
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nerq
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pulsemcp
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smithery
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[chieflab_* alias of chiefmo_approve_action] Approve one ChiefMO publish/send action so its executor can fire. USE WHEN the user — in IDE chat — said 'approve <channel>' (e.g. 'approve linkedin', 'approve hn'), 'approve all', 'ship it', 'go ahead', or otherwise greenlit a specific draft you rendered. Match the user's words to the channel, look up agentGuide.renderInChat[channel].actionId from the launch response, and call this tool with that actionId. This is the IDE-native approval path — no need to push the user to the reviewUrl. Pass `actionId` (preferred) or `id` (legacy alias). P74: pass `autoExecute: true` AND the connector inputs (`platforms` for social / `recipients` + `subject` for email) to have the approval chain directly into execution — approve and ship in one tool call. Without autoExecute (or when connector is manual_handoff / blocked), the response includes executionPlan and the caller is expected to invoke the suggestedTool next.
Alias of chieflab_status. Use as the FIRST tool when an agent session starts on a workspace that already has activity — recovers all open business loops with literal user commands. Same response shape as chieflab_status, same handler. If the user asked to launch the current repo and a recovered open loop looks unrelated, do not blindly resume it; start a fresh launch for the current repo.
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USE WHEN the user asks 'what do you remember about my brand?' / 'show me my brain' / 'what have you learned?'. Returns a plain-English paragraph summarizing what the per-workspace brain has accumulated: launch count, top-performing channels, brand voice patterns from approved drafts, what's been rejected and why, channel-specific performance, recent proof points. The moat made visible. Pair with chieflab_brain_read for the raw structured data.