Install
$ agentstack add skill-hqhq1025-skill-optimizer-skill-generalizer ✓ 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 Generalizer
Overview
Convert a working local skill into a clean public artifact. The goal is to preserve the reusable technique while removing private context, personal assumptions, and machine-specific setup.
When To Use
- A user wants to publish, share, promote, open-source, or package a local skill.
- A skill was born from personal workflows, private repos, local paths, transcripts, remote hosts, or team conventions.
- The output needs to be useful to strangers without leaking the author's environment.
Do not use for tuning a skill only for the user's own machine; use skill-personalizer for that.
Workflow
- Inspect the actual source skill and nearby repo files before judging.
- If the source skill quality is unclear, run the audit checks from
skill-personalizerfirst. - Separate the reusable capability from personal implementation details.
- Redact or replace private names, paths, hosts, credentials, account IDs, transcripts, and one-off project facts.
- Rewrite the skill around general triggering conditions, portable workflows, and bounded assumptions.
- Keep
SKILL.mdconcise; move long rubrics, examples, or scripts into bundled resources. - Check target-agent compatibility before writing install instructions or support claims.
- Produce publication-ready packaging and honest promotion copy only when requested.
- Verify frontmatter, file layout, install path, and at least one realistic usage prompt.
Public Release Rules
- Frontmatter
descriptionshould describe when to use the skill, not summarize its workflow. - Public examples must be generic or explicitly sanitized.
- Claims in README or marketplace copy must match files that actually exist.
- Prefer portable commands and path placeholders over the author's home directory or private aliases.
- If a personal detail is essential, turn it into a configurable variable with setup guidance.
References
Read [publication-rubric.md](references/publication-rubric.md) when doing a full release pass, redaction review, README rewrite, or promotional packaging.
Read [platform-compatibility.md](references/platform-compatibility.md) before claiming support for Codex, Claude Code, Cursor, OpenCode, Gemini CLI, or other coding agents.
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.