coordinate-external-ag…
Coordinate independently operated external agents through durable handoffs. Use when work crosses hosts, sessions, accounts,…
Implement and evaluate activation steering, representation engineering, logit changes, or weight-space interventions. Use when changing model behavior without ordinary fine-tuning or sweeping layer, strength, and persistence choices.
Claude Code
$ npx -y skills add gaelic-ghost/socket --skill steer-language-model-behavior --agent claude-code
Codex
$ npx skills add gaelic-ghost/socket --skill steer-language-model-behavior -a codex -y
Cursor
$ npx skills add gaelic-ghost/socket --skill steer-language-model-behavior -a cursor -y
Gemini CLI
$ npx skills add gaelic-ghost/socket --skill steer-language-model-behavior -a gemini-cli -y
GitHub Copilot
$ npx skills add gaelic-ghost/socket --skill steer-language-model-behavior -a github-copilot -y
OpenCode
$ npx skills add gaelic-ghost/socket --skill steer-language-model-behavior -a opencode -y
Windsurf
$ npx skills add gaelic-ghost/socket --skill steer-language-model-behavior -a windsurf -y
name: steer-language-model-behavior description: Implement and evaluate activation steering, representation engineering, logit changes, or weight-space interventions. Use when changing model behavior without ordinary fine-tuning or sweeping layer, strength, and persistence choices.
1. Invoke `research-model-representations` to define or validate the steering signal. 2. Freeze target and guardrail evaluation sets before selecting layers or strengths. 3. Record layer, hook point, token position, normalization, sign, magnitude, schedule, and generation settings. 4. Sweep a bounded strength range including zero and negative controls. 5. Compare with prompt-only, random-direction, and norm-matched controls. 6. Measure target success, capability regressions, fluency, calibration, diversity, and off-target behavioral changes. 7. For persistent changes, preserve the base checkpoint as immutable, write a new artifact, record both checksums and the transformation, and never edit weights in place. 8. Re-run the exact packaged or merged artifact if the intervention becomes persistent. 9. Report the smallest effective intervention and the operating range where the claim holds.
A successful steering vector demonstrates controllability under tested conditions. It does not by itself establish a unique representation, a complete mechanism, or safe generalization. Stronger target behavior with broad unrelated regressions is not a clean success.
Use `references/steering-controls.md` as the minimum comparison matrix.
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Ask which skill or flow fits your situation. A router over the skills in this repo.