Skip to content
Development
Skill

/steer-language-model-behavior

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.

From plugin
socket
9200 skills5 MCP

Claude Code

$ npx -y skills add gaelic-ghost/socket --skill steer-language-model-behavior --agent claude-code

SKILL.md

steer-language-model-behavior.SKILL.md
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.

Steer Language Model Behavior

Choose The Intervention

  • Use prompt or harness controls first when they satisfy the product need and the research question is not about internals.
  • Use activation steering for reversible, inference-time causal tests or runtime control.
  • Use logit interventions for token-level constraints whose scope can be stated explicitly.
  • Use weight-space changes for persistent behavior only after a reversible intervention establishes the direction and regression burden.

Workflow

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.

Interpretation

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.

References

Use `references/steering-controls.md` as the minimum comparison matrix.

Read more
@gaelic-ghost
Ships withsocket

Stuff for Agents on macOS Promo audio: Socket Codex Marketplace Promo

9200 skills5 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
9
Star history of gaelic-ghost/socket on GitHub, a chart by star-history.com

Other skills on socket.

orchestrate-agent-work

orchestrate-agent-work

Coordinate bounded worker tasks with a launch envelope, report-back, escalation, and synthesis contract. Use before spawning,…

@gaelic-ghost@gaelic-ghostInstall Skill

More skills from other plugins.

brainstorming
Auto-invoked

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…

@obra@obraInstall Skill
ask-matt

ask-matt

Ask which skill or flow fits your situation. A router over the skills in this repo.

skills11d309k
@mattpocock@mattpocockInstall Skill
accessibility
Auto-invoked

accessibility

Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels,…

ecc12d293k
@affaan-m@affaan-mInstall Skill
compiler-commit

compiler-commit

Use when you want to verify compiler changes and commit with the correct convention. Runs tests, lint, and format, then commits…

react1d252k
@facebook@facebookInstall Skill

Questions about steer-language-model-behavior.

Which coding agents can use steer-language-model-behavior?
steer-language-model-behavior installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.