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skill-personalizer

skill-personalizer is a skill for Claude Code, Codex from hqhq1025/skill-optimizer. It costs 52 tokens per session (511 once invoked), scanned A, original, MIT.

A guide for adapting an Agent Skill to one developer's tools, folders, habits, session history, and working style. An Agent Skill is a set of instructions that helps a coding agent handle a recurring kind of request.

In plain words
What is it for?
Use it to audit trigger conditions, inspect local conventions and tools, and adjust a skill for recurring requests. It is not intended for preparing a skill for public release.
Why use it?
It helps fix skills that trigger too often, not often enough, or ask for unnecessary information. It focuses on making an installed or community skill fit a real local workflow.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the skill-optimizer plugin — 3 skills shipped together

not rated 190repo +3 5mo ago A scan 52 tokens original MIT

Good fit Use it to audit trigger conditions, inspect local conventions and tools, and adjust a skill for recurring requests. It is not intended for preparing a skill for public release.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hqhq1025/skill-optimizer/skill-personalizer
View source ↗ hqhq1025/skill-optimizer hqhq1025.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hqhq1025/skill-optimizer --skill skill-personalizer
Clone the repo
git clone --depth 1 https://github.com/hqhq1025/skill-optimizer

Made for: Claude Code, Codex.

Or install skill-optimizer, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-personalizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/hqhq1025/skill-optimizer/skill-personalizer/github.svg)](https://agentmods.dev/skills/hqhq1025/skill-optimizer/skill-personalizer)
Your own site
<a href="https://agentmods.dev/skills/hqhq1025/skill-optimizer/skill-personalizer"><img src="https://agentmods.dev/badge/skills/hqhq1025/skill-optimizer/skill-personalizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-personalizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/hqhq1025/skill-optimizer/skill-personalizer"><img src="https://agentmods.dev/badge/skills/hqhq1025/skill-optimizer/skill-personalizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 511 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00511
Opus 5.5 $0.00021 $0.00204
Sonnet 5.5 $0.00010 $0.00102
Haiku 4.5 $0.00005 $0.00051

Measured 2mo ago against content hash 0705899cb042, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-personalizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/skill-personalizer/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 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 for the diagnostic pass inherited from the original optimizer.

Read the full file on GitHub · 45 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 45 lines · 52 tokens per session scan A 0705899cb042

Subscribe to this mod's changes

skill-personalizer is a skill published in the GitHub repository hqhq1025/skill-optimizer (190 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 511 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agentsClaude Codeagent-skillsagentskillsclaude-skillcodexllm-agents
Related

skill-personalizer compared with skills from other repositories

skill-personalizer next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
skill-personalizerhqhq1025/skill-optimizerSkill1905mo agoMITA52Claude Code, Codex
forward-implementation-firstVuk97/forward-implementation-firstSkill1842mo agoMITC94Claude Code, Codex
pingpong0xAaronx0/pingpongSkill64mo agoMITA121Claude Code, Codex
master-instructional-designnarosemena/master-instructional-designSkill246mo agononeA230Claude Code, Codex
vox-directorAlisa0808/vox-directorSkill2.6k1mo agoMITA236Claude Code, Codex
higgsfield-troubleshootOSideMedia/higgsfield-ai-prompt-skillSkill86313d agoMITA39Claude Code
akg-agentsXiaoLuoLYG/GODSkill1.3k14d agoApache-2.0A75Claude Code, Codex