ranbot-ai/accint-solve
skills/accint-solve/SKILL.md
Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
$ install --global
skillsauthnpx skillsauth add ranbot-ai/awesome-skills accint-solveInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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Last scanned: Jul 3, 2026, 5:46 AM128.6s1 file scanned
SKILL.md
- name:
- accint-solve
- description:
- Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
- category:
- AI & Agents
- source:
- antigravity
- tags:
- [mcp, claude, ai, security]
- url:
- https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/accint-solve
solve
When to Use
Use this skill when you need route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
Routing sugar over the two MCP verbs — no logic lives here.
- Call
acc_act(runtime="solve", input="<the goal>"). - If the result is final: surface the answer, the
commitmentid, and the cited[ids]. - 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": ...}). - End
proposal_textwithPREDICT: <0.00-1.00> <why>; acc strips that line before the owner sees it and uses it to calibrate the Work Model against later outcomes. - Never leave a received frame unresolved; never solo-derive outside the loop.
- 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.
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