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SKILL verified MIT Self-run

Skill Personalizer

skill-hqhq1025-skill-optimizer-skill-personalizer · by hqhq1025

Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.

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Install

$ agentstack add skill-hqhq1025-skill-optimizer-skill-personalizer

✓ 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.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-hqhq1025-skill-optimizer-skill-personalizer)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

Skill Personalizer

Overview

Audit and tune a skill for one user's real environment. The goal is not public portability; it is better triggering, less friction, and stronger fit with the user's actual tools, paths, style, and recurring tasks.

When To Use

  • A user installs a skill from GitHub or creates one from scratch and wants it to fit their setup.
  • A skill undertriggers, overtriggers, asks unnecessary questions, or misses the user's preferred workflow.
  • A user asks whether an existing skill is good, broken, noisy, too long, conflicting, or worth keeping.
  • Local paths, aliases, memories, CLIs, MCP tools, or repo conventions should be reflected in the skill.

Do not use when preparing a skill for public release; use skill-generalizer for that.

Workflow

  1. Inspect the target skill, installed copies, local memories, and real session evidence when available.
  2. Run the audit checks in [audit-rubric.md](references/audit-rubric.md) when quality, trigger fit, or retention is unclear.
  3. Identify the user's recurring phrasing, expected autonomy level, tools, directories, and verification habits.
  4. Compare the skill's trigger conditions against real user requests that should or should not load it.
  5. Edit only the target skill and bundled resources needed for personalization.
  6. Add concrete local defaults, preferred commands, safety boundaries, and verification steps.
  7. Preserve useful upstream behavior; document any intentional local divergence.
  8. Validate with realistic prompts and a frontmatter/layout check.

Personalization Rules

  • Personal details are allowed only if they improve this user's future execution.
  • Do not add brittle fallbacks that hide broken local setup.
  • Prefer real local evidence over generic best practices.
  • Keep trigger descriptions broad enough to catch the user's natural phrasing.
  • If editing an installed third-party skill, avoid changing upstream attribution or license text.

References

Read [audit-rubric.md](references/audit-rubric.md) for the diagnostic pass inherited from the original optimizer.

Read [personalization-rubric.md](references/personalization-rubric.md) for local defaults, session evidence, and validation scenarios.

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.