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 flanliulf/SpecLite --skill speclite-advanced-elicitationgit clone --depth 1 https://github.com/flanliulf/SpecLiteWrote 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/flanliulf/speclite/speclite-advanced-elicitation)<a href="https://agentmods.dev/skills/flanliulf/speclite/speclite-advanced-elicitation"><img src="https://agentmods.dev/badge/skills/flanliulf/speclite/speclite-advanced-elicitation/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/flanliulf/speclite/speclite-advanced-elicitation"><img src="https://agentmods.dev/badge/skills/flanliulf/speclite/speclite-advanced-elicitation.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 | $0.00077 | $0.00678 |
| Opus 5 | $0.00039 | $0.00339 |
| Sonnet 5 | $0.00015 | $0.00136 |
| Haiku 4.5 | $0.00008 | $0.00068 |
Grade A, and why
speclite-advanced-elicitation 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 10d 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
[技能说明] Speclite Advanced Elicitation 用于推动模型重新审视、批判和改进最近产出的内容。它保留 BMAD 源 Skill 的方法注册表、1-5/r/a/x 交互循环、用户确认后才应用修改、以及可被其他 Skill 间接调用的增强语义。
[核心能力]
- 方法注册表加载：读取 references/methods.csv 获取 elicitation 方法、说明和 output pattern。
- 上下文分析：分析内容类型、复杂度、利益相关者需求、风险等级和创造潜力。
- 智能方法选择：默认选择 5 个最适合当前内容的方法，并支持 reshuffle、list all 和直接反馈。
- 迭代增强：针对当前内容逐轮应用选中方法，展示增强结果并等待用户确认。
- 间接调用返回：被其它 Skill 调用时，将用户接受的增强内容返回给调用方作为替换内容。
- Agent roster 支持：如需要 party mode 视角，可通过 Speclite runtime 解析 agents roster。
[执行流程]
1. 读取 references/methods.csv；如需要 party mode 参与，运行 speclite resolve config --project-root {project-root} --key agents 解析 agent roster。
2. 分析当前内容和对话上下文，选择 5 个最匹配的 elicitation 方法。
3. 展示选项：数字 1-5、r reshuffle、a list all、x proceed。
4. 用户选择方法后，依据 CSV description 和 output_pattern 应用于当前内容，展示增强版本。
5. 必须询问用户是否应用修改；仅当用户确认 yes 时才把增强内容作为当前版本。
6. 每轮结束后重新展示 1-5/r/a/x，直到用户选择 x。
7. 间接调用场景下，将最终接受的增强内容返回给调用 Skill。
[注意事项]
- {speclite-runtime-root} = {project-root}/_speclite。
- 输出语言必须遵循当前 Agent 的 communication style 和 communication_language。
- 不得跳过用户确认；用户拒绝时必须丢弃该轮拟议修改。
- 多个方法编号可按顺序执行，但每轮仍需回到选择菜单。
- 当前运行规约不得依赖 BMAD runtime 路径。
What ships with it
3 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.
- 10d ago First seen · 37 lines · 77 tokens per session scan A 85d407155a21
speclite-advanced-elicitation is a skill published in the GitHub repository flanliulf/SpecLite (4 stars, last pushed 2mo ago), licensed MIT. It adds 77 tokens to every session and 678 once invoked, about $0.0004 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 2026-08-31.
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