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 tranfu-labs/tranfu-skills --skill fireworks-tech-graphgit clone --depth 1 https://github.com/tranfu-labs/tranfu-skillsWrote 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/tranfu-labs/tranfu-skills/fireworks-tech-graph)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/fireworks-tech-graph"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/fireworks-tech-graph/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/tranfu-labs/tranfu-skills/fireworks-tech-graph"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/fireworks-tech-graph.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00105 | $0.00368 |
| Opus 5.5 | $0.00042 | $0.00147 |
| Sonnet 5.5 | $0.00021 | $0.00074 |
| Haiku 4.5 | $0.00011 | $0.00037 |
Grade A, and why
fireworks-tech-graph 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 2mo 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
fireworks-tech-graph (external thin pointer)
这是一个 external 薄指针 —— 仓库里只存 frontmatter, 不存 skill body.
首次 install-skill 时, install 流程会从 source_url 拉最新内容到本地 ~/.claude/skills/fireworks-tech-graph/, 并把这里的元数据回写为 stub.
- 上游: https://github.com/yizhiyanhua-ai/fireworks-tech-graph
- License: MIT
- Install 命令 (上游推荐):
npx skills add yizhiyanhua-ai/fireworks-tech-graph
更新内容请直接看上游 README / SKILL.md, 别在本仓库改 body.
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.
- 2mo ago First seen · 29 lines · 105 tokens per session scan A 92b54280a8e2
fireworks-tech-graph is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 24d ago), licensed MIT. It adds 105 tokens to every session and 368 once invoked, about $0.0004 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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