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 aliyun/alibabacloud-agent-toolkit --skill alibabacloud-writing-plansgit clone --depth 1 https://github.com/aliyun/alibabacloud-agent-toolkitWrote 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/aliyun/alibabacloud-agent-toolkit/alibabacloud-writing-plans)<a href="https://agentmods.dev/skills/aliyun/alibabacloud-agent-toolkit/alibabacloud-writing-plans"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-agent-toolkit/alibabacloud-writing-plans/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/aliyun/alibabacloud-agent-toolkit/alibabacloud-writing-plans"><img src="https://agentmods.dev/badge/skills/aliyun/alibabacloud-agent-toolkit/alibabacloud-writing-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.02207 |
| Opus 5 | $0.00031 | $0.01104 |
| Sonnet 5 | $0.00012 | $0.00441 |
| Haiku 4.5 | $0.00006 | $0.00221 |
Grade A, and why
alibabacloud-writing-plans 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud Writing Plans
AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE
This skill converts approved designs into executable Terraform HCL code. It does NOT execute anything. HCL 代码生成 MUST 通过调用
alibabacloud-spec-ops:alibabacloud-terraform-codegenskill 完成,禁止自行内联生成。
PREREQUISITE CHECK (internal — do not expose these checks to user)
Before proceeding, verify:
tasks/status.jsonexists withstatus: "designed"designs/design.mdexists with approved designIf missing, STOP and inform the user that design planning needs to complete first.
Triggers
Activate when:
- Planning phase is complete and user wants to generate code
- User explicitly asks for Terraform code generation
- Auto-prompted after alibabacloud-spec-ops:alibabacloud-planning completes
Rules
- Read design first — Load and understand the design.md before writing code
- Respect mode — Check
tasks/status.jsonfor"mode"field:"fast-track"or"full"(default) - Respect change type — Check
tasks/status.jsonfor"change_type"field:"modify"means update existing .tf files, not create from scratch - Delegate code generation — MUST invoke
alibabacloud-spec-ops:alibabacloud-terraform-codegenfor HCL generation - Never generate HCL inline — Do NOT write Terraform code yourself; always delegate to terraform-codegen
- Single file output — ALL Terraform code MUST be in a single
main.tffile (no splitting) - No execution — This skill writes code only, never runs terraform
- Update status — Set status to "plans-written" when complete (silently)
Modification Mode (change_type: "modify")
When tasks/status.json contains "change_type": "modify":
- Read existing .tf files first — Load all current Terraform code from
designs/terraform/ - Apply delta only — Modify/add/remove resources as described in the updated design.md; preserve unchanged resources
- Communicate change scope to terraform-codegen — When invoking the codegen skill, explicitly state:
- What exists (pass current .tf content)
- What to change (the specific modifications from design)
- What to preserve (everything else)
- Terraform plan will show diff — Downstream validate/execute will naturally show
~ modifyand+ addinstead of all+ create
What ships with it
2 files 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.
- 12d ago First seen · 237 lines · 62 tokens per session scan A 20d9a7444f43
alibabacloud-writing-plans is a skill published in the GitHub repository aliyun/alibabacloud-agent-toolkit (21 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 2,207 once invoked, about $0.0003 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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