Borrowing it
Nothing to install: this file belongs to fitlab-ai/agent-infra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fitlab-ai/agent-infra/main/.claude/commands/post-release.mdgit clone --depth 1 https://github.com/fitlab-ai/agent-infraWrote 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/commands/fitlab-ai/agent-infra/post-release)<a href="https://agentmods.dev/commands/fitlab-ai/agent-infra/post-release"><img src="https://agentmods.dev/badge/commands/fitlab-ai/agent-infra/post-release.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 | $0.00005 | $0.00058 |
| Opus 5 | $0.00003 | $0.00029 |
| Sonnet 5 | $0.00001 | $0.00012 |
| Haiku 4.5 | $0.00001 | $0.00006 |
Grade A, and why
post-release 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- post-release.zh-CN — 100% identical, 0 lines differ
What it actually says
读取并执行 .agents/skills/post-release/SKILL.md 中的 post-release 技能。
严格按照技能中定义的所有步骤执行。
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.
- 6d ago First seen · 10 lines · 5 tokens per session scan A 44ecd2ae662c
post-release is a command published in the GitHub repository fitlab-ai/agent-infra (83 stars, last pushed today), licensed MIT. It adds 5 tokens to every session and 58 once invoked, about $0.0000 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.
Other commands, from other repositories
atomic-plan
Write a design doc (concepts, business rules, approaches) and a checkpoint-table spec (contract) for non-trivial work; inline spec only for trivial. Gauges triviality; loops spec authoring with subagents. Human-facing artifact, Mermaid diagrams allowed.
next
Suggest the most likely next workflow action based on current context.
afo
Open feature worktree in terminal and start agent (shortcut for feature-open).
aigon-research-context
Record the original author's durable, transcript-free handoff.
pick-agent
팀 통째가 아니라, 검증된 직원 중 필요한 사람만 골라 내 직원으로 가져오기.
aigon-research-spec-revise
You are the author-side agent. Review all pending spec-review: commits on the research spec, decide what to keep, and land one acknowledgement commit.