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SKILL verified MIT Self-run

Accint Solve

skill-sickn33-agentic-awesome-skills-accint-solve · by sickn33

Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

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Install

$ agentstack add skill-sickn33-agentic-awesome-skills-accint-solve

✓ 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.

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About

solve

When to Use

Use this skill when you need route a goal through acc's scored-memory loop via accact(runtime="solve"); deliberate any returned brainframe and submit via continue.

Routing sugar over the two MCP verbs — no logic lives here.

  1. Call acc_act(runtime="solve", input="").
  2. If the result is final: surface the answer, the commitment id, and the cited [ids].
  3. If the result is a brain_frame: it is YOUR deliberation turn — the frame is typed

(which hole, what was retrieved, what is predicted). Reason over it, then submit via acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...}).

  1. End proposal_text with PREDICT: ; acc strips that line before

the owner sees it and uses it to calibrate the Work Model against later outcomes.

  1. Never leave a received frame unresolved; never solo-derive outside the loop.
  2. Close the commitment honestly later with acc_act(runtime="outcome", ...).

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.

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.