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Screen a Target against the hard gates (the screen verb). Applies auto — the write IS the screen.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
The market-radar's sensing pass — sweep recent public signal (HN + Reddit, free, recency-windowed) on a company or theme and bucket every hit against the contract's watch signals (distress, ownership, momentum, valuation, AI-pressure). Use to scout a candidate or refresh the pipeline.
Run the model's audit (the model's audit service, mechanical subset) and summarize — green/red, defects with the invariant each violates. Run after any batch of edits.
Close an acquisition: create the Deal + Business + Interface(s) (GATE 2: go/no-go is the user's).
The desk over the whole deal machine — pipeline status, pending proposals, and which verb applies next. Start here ("/deal-desk") to see the state and be guided to the right action skill.
The hiring assistant — run a candidate through Bending Spoons' selection funnel and score them against the disclosed gates. Read-only, advisory: it drafts a recommendation; the committee decides. The people-side twin of screen-target.
Create a new Target in the pipeline (the source verb). Human-gated: admission needs the user's approval.
| name | screen |
| description | Screen a Target against the hard gates (the screen verb). Applies auto — the write IS the screen. |
| disable-model-invocation | true |
Execute the screen verb of the Bending Spoons world model, per its contract.
capabilities/actions/screen-target.md — parameters, submission criteria, gate. Follow it exactly.python3 .claude/skills/radar-sweep/scripts/radar_sweep.py "TKR" --gates
(revenue band · HQ · sector, [derived] from EDGAR)... "Legal Name" --company (GLEIF → ESEF chain; honest n.d. for privates)--loyalty "Brand" as the predictable-earnings proxy
(rating base · interest trend · community)
Fill the nine gate values from these, marked by provenance; ask the user only for what remains.python3 -c "import sys; sys.path.insert(0,'mcp'); import engine, json; print(json.dumps(engine.propose('screen', PARAMS), indent=2))"
If the engine REFUSES, report the refusal verbatim — it is a submission criterion firing (a will
constraint or an invariant), not an error to work around.python3 -c "import sys; sys.path.insert(0,'mcp'); import engine; print(engine.apply('PROPOSAL_ID', 'USER_NAME'))"
The engine runs the audit and commits if green; report the outcome. Never edit the csvs directly.