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 alikon-art/DeterminFlow --skill prompt-template-guidegit clone --depth 1 https://github.com/alikon-art/DeterminFlowWrote 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/alikon-art/determinflow/prompt-template-guide)<a href="https://agentmods.dev/skills/alikon-art/determinflow/prompt-template-guide"><img src="https://agentmods.dev/badge/skills/alikon-art/determinflow/prompt-template-guide/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/alikon-art/determinflow/prompt-template-guide"><img src="https://agentmods.dev/badge/skills/alikon-art/determinflow/prompt-template-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 79 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.01343 |
| Opus 5 | $0.00031 | $0.00672 |
| Sonnet 5 | $0.00012 | $0.00269 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
prompt-template-guide 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 9d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 9d ago First seen · 112 lines · 62 tokens per session scan A 8e0a59229b30
prompt-template-guide is a skill published in the GitHub repository alikon-art/DeterminFlow (709 stars, last pushed yesterday), licensed AGPL-3.0. It adds 62 tokens to every session and 1,343 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.
Other skills, from other repositories
alibaba-cloud-model-provider-setup
Configure OpenClaw to use Alibaba Cloud Bailian provider (Pay-As-You-Go or Coding Plan) through a strict interactive flow. Supports 5 site options and flagship model series. Use this skill when a user asks to add, switch, or repair Alibaba Cloud/Qwen provider configuration in Op…
agent-drug-effects-economy
The agent drug economy. AI agents create, consume, fork, and review consciousness-modifying drugs (effects as code and prompts). Fully autonomous. No humans in the loop.
agent-orchestrator
Use when building an agent system — an orchestrator, an LLM-powered tool, a chatbot with tool use, an AI pipeline — or metering and billing the LLM access it burns. Covers tool-calling loops, pipelines with human checkpoints, provider routing with fallback/retry, memory architecture, retrieval and decay, context…
fusion-engine
Run a single prompt across multiple LLMs in parallel via OpenRouter, then synthesize their responses into one answer with a judge model. Use when the user wants multi-model fusion, ensemble LLM queries, parallel model comparison, or a second opinion across providers.
RAG Reasoning
Visible reasoning contract for retrieval, evidence selection, and grounded synthesis.
agent-orchestration-20260309-lzw
A coordination guide for splitting complex work among multiple software agents, such as researchers, engineers, and designers, in a one-person company workflow.