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Eda Autoidea Bridge

skill-mr-fang-vlsi-edagent-eda-autoidea-bridge · by Mr-Fang-VLSI

Bridge autoIdea literature recommendation, historical formulation, and idea-generation outputs into the current repo's paper/knowledge/skill workflow.

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Install

$ agentstack add skill-mr-fang-vlsi-edagent-eda-autoidea-bridge

✓ 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

EDA AutoIdea Bridge

When to use

Use this skill when the user wants to combine external_tools/autoIdea outputs with current infra:

  1. import recommended papers into local download queue,
  2. merge autoIdea recommendations with landscape feedback queue,
  3. ingest autoIdea idea/experiment drafts into a governed report for follow-up debate and hypothesis design.

Inputs

  • external_tools/autoIdea clone with at least one of:
  • citation_graph_output/recommended_top30.json
  • outputs/final_idea.txt
  • outputs/experiment.txt
  • citation_graph_output/historical_problem_formulation.txt

Execution

Run:

python3 scripts/common/autoidea_bridge.py --autoidea-root external_tools/autoIdea

Outputs

  • docs/papers/queues/autoidea_recommended_top30_bridge.tsv
  • docs/papers/queues/literature_feedback_merged_with_autoidea.tsv
  • docs/knowledge_base/99_AUTOIDEA_FUSION_REPORT_20260306.md

Integration contract

  1. New autoIdea-driven queue rows must still pass current paper/validation gates.
  2. Imported idea/experiment drafts are treated as candidates, not accepted plans.
  3. Promotion requires control-theory-veto and non-regression execution evidence.

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.

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Versions

  • v0.1.0 Imported from the upstream source.