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SKILL verified MIT Self-run

Next

skill-control-decks-think-it-through-next · by control-decks

Recommend the next one to three concrete actions with the highest leverage for the latest actionable result or current Binding. Use only when the user invokes next or asks what to do next; never redirect or act silently.

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Install

$ agentstack add skill-control-decks-think-it-through-next

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

⚡ Think Next

Use when: The user has enough clarity to continue but needs the highest-leverage next step. Default binding: The latest actionable result, otherwise the current Binding. Accepts: A compatible HACP Working Object or the declared default material. Effect: Recover the current stage and dependencies, identify the bottleneck, then rank concrete actions by leverage. Result: One to three actions with expected outcomes. Duration: One agent turn. Limits: Distinguish conversational and external actions. Do not expand into a full plan or execute anything.

Flow

flowchart LR
    A["Actionable result or Binding"] --> B["Recover stage and dependencies"]
    B --> C["Find highest-leverage bottleneck"]
    C --> D["Rank possible actions"]
    D --> E["Select one to three"]
    E --> F["Name action and expected outcome"]
    F --> G["User chooses whether to act"]

Prefer a reversible learning step when uncertainty is high.

Format

Begin the combo trace with > 🎯 **** → ⚡ **NEXT**, followed by one to three Next actions ordered by leverage.

Add an output with and presentation cards with +; show the trace once for the complete combo.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.