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 megamen32/gptadmin_opensource --skill gptadmin-workflowgit clone --depth 1 https://github.com/megamen32/gptadmin_opensourceWrote 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/megamen32/gptadmin_opensource/gptadmin-workflow)<a href="https://agentmods.dev/skills/megamen32/gptadmin_opensource/gptadmin-workflow"><img src="https://agentmods.dev/badge/skills/megamen32/gptadmin_opensource/gptadmin-workflow.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 | $0.00027 | $0.00379 |
| Opus 5 | $0.00014 | $0.00189 |
| Sonnet 5 | $0.00005 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
gptadmin-workflow 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 2d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, 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.
- 2d ago First seen · 41 lines · 27 tokens per session scan A 0805f5e3936c
gptadmin-workflow is a skill published in the GitHub repository megamen32/gptadmin_opensource (10 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 27 tokens to every session and 379 once invoked, about $0.0001 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 2026-09-05.
Other skills, from other repositories
obsidian-web-mcp
Set up or maintain an Obsidian vault with a desktop ChatGPT web sidebar community plugin and a vault-scoped MCP server exposed through ngrok. Use when asked to configure Obsidian plugins, install or update a ChatGPT web sidebar, expose an Obsidian vault to ChatGPT/MCP, add read/write vault tools, add Agent…
agent-core-coordination
Start with workspacesync for the workspace scope and reuse its execution ID. Search memory for stable project facts and decisions. Write activity updates while working. Complete the activity with a short result when done.
agent-core-memory
Search memory before writing. Store durable facts and decisions, not routine progress. Keep facts checkable with a subject anchor. Use activity updates for work status and temporary notes.
using-axon
Use Axon for RAG, web search, source indexing, extraction, memory, and grounded answers over indexed docs, repos, feeds, or web content.
reef
Read and maintain a person's private and shared long-term Reef memory through the reef CLI. Use when an agent needs remembered context, pages, coves/coves, files, invitations, persona settings, or carefully confirmed sharing in Reef; also use when the user asks to remember something for later.
mem0-tour
Browses all stored memories grouped by category with full content display. Use when reviewing all project memories, exploring stored knowledge, onboarding to a project, or getting an overview of captured decisions, conventions, and learnings.