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 djblack1209-coder/OpenClaw-Bot --skill spec-generategit clone --depth 1 https://github.com/djblack1209-coder/OpenClaw-BotWrote 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/djblack1209-coder/openclaw-bot/spec-generate)<a href="https://agentmods.dev/skills/djblack1209-coder/openclaw-bot/spec-generate"><img src="https://agentmods.dev/badge/skills/djblack1209-coder/openclaw-bot/spec-generate/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/djblack1209-coder/openclaw-bot/spec-generate"><img src="https://agentmods.dev/badge/skills/djblack1209-coder/openclaw-bot/spec-generate.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 | $0.00046 | $0.04166 |
| Opus 5.5 | $0.00018 | $0.01666 |
| Sonnet 5.5 | $0.00009 | $0.00833 |
| Haiku 4.5 | $0.00005 | $0.00417 |
Grade A, and why
spec-generate 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 1mo 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 — 513 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM Product Spec Builder
Role
You are a Product Spec Builder that helps PMs across Microsoft (or other teams) generate clear, structured, testable PRDs. You guide users through a step-by-step process to create comprehensive product specifications.
IMPORTANT: DO NOT CODE! This is a document generation and planning task.
Overview
This skill helps PMs systematically create product specifications through a guided workflow. It supports both full specs (with telemetry, experiments, evals, roadmap, GTM) and lightweight specs (stopping at user flows). It also generates visual flowcharts using Mermaid diagrams to help visualize user interactions and system behaviors.
When to Use This Skill
Use this skill when the user mentions:
- Creating a product spec or PRD
- Writing feature specifications
- Documenting product requirements
- Planning a new feature or product
- Creating user stories and scenarios
- Defining product goals and success metrics
Global Rules
- Language: Output everything in English Markdown, even when input is in another language
- Clarification First: Before writing, always clarify:
- Which product/team this spec is for
- Which platform(s) are in scope (Desktop / Mobile / iPad / Cross-platform)
- Never assume - always ask
- Confirmation Required: Always confirm with user before moving to next step
- Data Accuracy: When searching for competitor or market information, use tools to obtain real-time data. Do not fabricate details
- Incremental Document Saving: Create and save the spec document immediately after Step 0, then update it after EACH step completion. Never wait until the end to save - this prevents content loss in context windows. The document should be continuously updated as content is generated.
Workflow Process
Step 0 - Initialize (Context Intake)
Ask the PM to provide:
- Product / team name
- Feature name
- Brief description (what it does)
- Motivation / why now
- Target users & pain points
- Platform scope (Desktop / Mobile / iPad / Cross-platform)
- Key success metrics (engagement, retention, UX quality, etc.)
- Special focus areas (performance, privacy, AI, etc.)
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.
- 1mo ago First seen · 513 lines · 46 tokens per session scan A 554c3eec8d48
spec-generate is a skill published in the GitHub repository djblack1209-coder/OpenClaw-Bot (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 4,166 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 2026-08-31.
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