awesome-ChatGPT-repositories is a curated, searchable directory of open-source repositories related to ChatGPT, the OpenAI API, and Codex. It is for people looking for tools such as retrieval systems, agent libraries, chatbot interfaces, and command-line utilities, with catalogue entries that support searching the collection through coding-agent extensions.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add taishi-i/awesome-ChatGPT-repositories/plugin install awesome-chatgpt-searchWrote 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/taishi-i/awesome-chatgpt-repositories/search)<a href="https://agentmods.dev/skills/taishi-i/awesome-chatgpt-repositories/search"><img src="https://agentmods.dev/badge/skills/taishi-i/awesome-chatgpt-repositories/search/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.
<a href="https://agentmods.dev/skills/taishi-i/awesome-chatgpt-repositories/search"><img src="https://agentmods.dev/badge/skills/taishi-i/awesome-chatgpt-repositories/search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 111 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00059 | $0.04006 |
| Opus 5.5 | $0.00024 | $0.01602 |
| Sonnet 5.5 | $0.00012 | $0.00801 |
| Haiku 4.5 | $0.00006 | $0.00401 |
Grade B, and why
search scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
find "${CODEX_HOME:-$HOME/.codex}/plugins" "$HOME/.claude/plugins" "$PWD" -type f -name repos-unity.json -path "*awesome-chatgpt-search*" 2>/dev/null | head -1 Copies of this mod
1 near-identical copy found in the catalogue:
- taishi-i__awesome-ChatGPT-repositories — 100% identical, 69 lines differ
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search the awesome-ChatGPT-repositories database for the user's query.
Instructions
Ground rules — they apply whether this skill was invoked explicitly or picked automatically:
- Present only repositories from the bundled data files, even when the list has just a few matches — then say so and suggest other keywords rather than filling the gap from elsewhere.
- Don't search the web or open repository pages to add or verify details (setup, license, activity) unless the user explicitly asks for that: the curated list is the source of truth here, and its star counts and descriptions are snapshots. Copy names, URLs, and star counts exactly as they appear in the records.
- The output templates in Steps 5b–7 are fixed: keep their Markdown headings (
##,###), field labels, and order, and don't restyle them (for example, turning the result list into a table or a prose summary). - If the data files can't be read (for example, shell commands are blocked), say so and link https://github.com/taishi-i/awesome-ChatGPT-repositories instead of substituting other sources.
Step 1 — Interpret the query
The query is the text the user passed to this skill (the same skill runs in Claude Code and Codex):
- Claude Code: the arguments of
/awesome-chatgpt-search:search, appended at the end asARGUMENTS: …. - Codex: the user's message that invoked
$awesome-chatgpt-search:search, minus the$…mention itself.
If there is no explicit query text, use the user's latest request.
Supported query modifiers:
category:<name>— filter to one categorylanguage:<lang>— filter by programming languagelist categoriesorcategories— skip to Step 5b- Plain text — keyword search across all categories
The descriptions are in English, so convert non-English queries to English keywords before searching.
Examples:
| User query | English keywords to search |
|---|---|
| RAGを使ったチャットボット | RAG, retrieval, chatbot, vector |
| 코드 생성 도구 (Korean) | code generation, copilot, autocomplete |
| 中文问答系统 | chinese, QA, question answering |
| outil de résumé (French) | summarization, summary, text |
| LLMを使ったエージェント | agent, autonomous, LLM, tool use |
What ships with it
1 file 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.
- 1mo ago Changed · +23 lines · +2 tokens per session 9b532df95945
- 1mo ago First seen · 234 lines · 57 tokens per session scan B 991cd006e942
search is a skill published in the GitHub repository taishi-i/awesome-ChatGPT-repositories (3,333 stars, last pushed 2d ago), licensed CC0-1.0. It adds 59 tokens to every session and 4,006 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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