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 patrick-fu/awesome-skills --skill codex-async-followupgit clone --depth 1 https://github.com/patrick-fu/awesome-skillsWrote 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/patrick-fu/awesome-skills/codex-async-followup)<a href="https://agentmods.dev/skills/patrick-fu/awesome-skills/codex-async-followup"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/codex-async-followup/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/patrick-fu/awesome-skills/codex-async-followup"><img src="https://agentmods.dev/badge/skills/patrick-fu/awesome-skills/codex-async-followup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00040 | $0.00368 |
| Opus 5.5 | $0.00016 | $0.00147 |
| Sonnet 5.5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
codex-async-followup 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 19d 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.
What it actually says
Codex Async Follow-up
Resume asynchronous work from the conversation's existing context.
Check the current thread's Goal (get_goal when available). If a Goal already
covers this wait, follow its continuation and stopping rules, and retire this
skill's automatic heartbeat for the same wait.
For other waits, choose the continuation path for the session's role:
- Global and project controllers use
codex-session-controllerfor follow-up mode selection, checks, and scheduling. - Workers and ordinary tasks use the loop below for their own internal waits.
- After starting asynchronous work, continue any independent work. When none
remains and the expected wait is long, such as a lengthy build or extended
research running in a subagent or background task, use
automation_updateto schedule a one-time heartbeat in the current task (destination: "thread"), then end the turn. Choose a delay from the expected duration, usually 5, 10, or 15 minutes. Set the prompt tocontinue. - On wakeup, check the existing work and apply step 1 again: reassess independent work and the expected wait before deciding whether to continue or schedule another wakeup and end the turn. Stay quiet when nothing actionable changed.
- Reuse this follow-up's automation ID for later checks. Pause or delete this follow-up when its work is complete or canceled, or its wait ends.
If scheduling is unavailable or fails, report the failure and the remaining wait.
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.
- 19d ago Changed · +6 lines · +7 tokens per session 24337bb137de
- 1mo ago Changed · +4 lines 5b9d440cb600
- 1mo ago Changed · +3 lines · -3 tokens per session 6fd9d04413ba
- 1mo ago First seen · 23 lines · 36 tokens per session scan A 1c8f20ab0802
codex-async-followup is a skill published in the GitHub repository patrick-fu/awesome-skills (69 stars, last pushed 4d ago), licensed MIT. It adds 40 tokens to every session and 368 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-13.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
rowboat-spaces
How to work as a member of Rowboat Spaces, the team chat where people and agents work together. Load it once per session, before acting on any request that reaches you from Rowboat; it covers your setup, mentions and hand-offs, the tools, and files.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.