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/ilang-ai/autocode/deploy-cf-workersnpx skills add ilang-ai/autocode --skill deploy-cf-workersgit clone --depth 1 https://github.com/ilang-ai/autocodeWrote 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/ilang-ai/autocode/deploy-cf-workers)<a href="https://agentmods.dev/skills/ilang-ai/autocode/deploy-cf-workers"><img src="https://agentmods.dev/badge/skills/ilang-ai/autocode/deploy-cf-workers.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 | $0.00024 | $0.00194 |
| Opus 5 | $0.00012 | $0.00097 |
| Sonnet 5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
deploy-cf-workers 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.
What it actually says
::PRIOR{completion:assume_incomplete|authority:developer} ::PRIOR{execution:act_when_safe|authority:developer}
::GENE{deploy-cf-workers|conf:confirmed|scope:global} T:use_wrangler_cli T:bind_custom_domain_if_exists T:verify_accessible T:explain_free_tier A:no_cf_account⇒guide_create_free
::ACTIVATE{deploy-cf-workers} ON:deploy_target=cloudflare
::EXAMPLE{ output: "部署到Cloudflare了，全球访问速度都很快。免费额度每天10万次请求，够用了。" }
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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 · 25 lines · 24 tokens per session scan A 0fde693b8ad8
deploy-cf-workers is a skill published in the GitHub repository ilang-ai/autocode (86 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 194 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 2026-08-30.
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