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.
npx skills add hqhq1025/skill-optimizer --skill skill-generalizergit clone --depth 1 https://github.com/hqhq1025/skill-optimizerWrote 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.
[](https://agentmods.dev/skills/hqhq1025/skill-optimizer/skill-generalizer)<a href="https://agentmods.dev/skills/hqhq1025/skill-optimizer/skill-generalizer"><img src="https://agentmods.dev/badge/skills/hqhq1025/skill-optimizer/skill-generalizer.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.00508 |
| Opus 5 | $0.00026 | $0.00254 |
| Sonnet 5 | $0.00010 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
skill-generalizer 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 7d 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.
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 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 when doing a full release pass, redaction review, README rewrite, or promotional packaging.
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.
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.
- 7d ago First seen · 45 lines · 52 tokens per session scan A 82ac835278ba
skill-generalizer is a skill published in the GitHub repository hqhq1025/skill-optimizer (165 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 508 once invoked, about $0.0003 per session on Opus 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.
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