Install
$ agentstack add skill-hqhq1025-skill-optimizer-skill-personalizer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- Inspect the target skill, installed copies, local memories, and real session evidence when available.
- Run the audit checks in [audit-rubric.md](references/audit-rubric.md) when quality, trigger fit, or retention is unclear.
- Identify the user's recurring phrasing, expected autonomy level, tools, directories, and verification habits.
- Compare the skill's trigger conditions against real user requests that should or should not load it.
- Edit only the target skill and bundled resources needed for personalization.
- Add concrete local defaults, preferred commands, safety boundaries, and verification steps.
- Preserve useful upstream behavior; document any intentional local divergence.
- 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.
- Author: hqhq1025
- Source: hqhq1025/skill-optimizer
- License: MIT
- Homepage: https://hqhq1025.github.io/skill-optimizer/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.