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 agentmods add skills/ecodelearn/template-claude-code-ts/bugfixnpx skills add ecodelearn/template-claude-code-ts --skill bugfixgit clone --depth 1 https://github.com/ecodelearn/template-claude-code-tsWhat 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 | $0.00044 | $0.00808 |
| Opus 5 | $0.00022 | $0.00404 |
| Sonnet 5 | $0.00009 | $0.00162 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
bugfix 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 yesterday.
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.
The source is not reproduced here
Licensed WTFPL
The repository is licensed WTFPL, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- yesterday First seen · 90 lines · 44 tokens per session scan A 72b19106f273
bugfix is a skill published in the GitHub repository ecodelearn/template-claude-code-ts (1 stars, last pushed 1mo ago), licensed WTFPL. It adds 44 tokens to every session and 808 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
i18n
Internationalization (i18n) workflow and standards for managing translations. Use when: (1) Adding new user-facing text, (2) Creating new components with user-facing text, (3) Reviewing code for i18n compliance, (4) Adding a new translation module.
lov-image-translation-errata
核对截图中的原文与机翻，生成保留错误痕迹、给出正确译文且尽量维持原布局的勘误图；用于“图片翻译勘误”“指出机翻错误”和 create an in-image translation errata。.
lov-academic-translator
将英文论文、arXiv、期刊/会议文章及技术 PDF 翻译为中文 PDF 或可发布的中文 Markdown。用户提出“翻译英文 PDF”“翻译论文”“论文超级翻译官”“保留图片、公式和原版式”“原文译文对照”“页数对应”或“PDF 图文排版不要乱”时使用。.
tech-to-marketing-brief
将零散的技术特性和算法更新，转化为完整的运营 Brief、社媒宣发案例库以及配套的研发 Jira Ticket.
spec-authoring
G2 — translate a numbered acceptance-criteria list (AC-1, AC-2, ...) from pipeline/brief.md into Gherkin scenarios in pipeline/spec.feature. One Scenario per AC, tagged @AC-N. Drives stage-03b (executable-spec) and enables zero-drift mapping through QA.
visa-doc-translate
Translate visa application documents (images) to English and create a bilingual PDF with original and translation.