speclite-party-mode

speclite-party-mode is a skill for Claude Code from flanliulf/SpecLite. It costs 72 tokens per session (693 once invoked), scanned A, original, MIT.

A discussion mode that coordinates several installed SpecLite agents to examine a question from different roles. It can run independent agent responses or simulate multiple roles in solo mode.

In plain words
What is it for?
Use it for roundtable discussions, multi-agent reviews, project questions, and follow-up debate among selected specialist agents.
Why use it?
It brings multiple viewpoints to decisions and reviews that may be missed by a single perspective.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Good fit Use it for roundtable discussions, multi-agent reviews, project questions, and follow-up debate among selected specialist agents.

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Install with agentmods
npx agentmods add skills/flanliulf/speclite/speclite-party-mode
Install

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.

Any agent
npx skills add flanliulf/SpecLite --skill speclite-party-mode
Clone the repo
git clone --depth 1 https://github.com/flanliulf/SpecLite

Made for: Claude Code.

Wrote 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.

agentmods badge for speclite-party-mode

README.md
[![agentmods](https://agentmods.dev/badge/skills/flanliulf/speclite/speclite-party-mode/github.svg)](https://agentmods.dev/skills/flanliulf/speclite/speclite-party-mode)
Your own site
<a href="https://agentmods.dev/skills/flanliulf/speclite/speclite-party-mode"><img src="https://agentmods.dev/badge/skills/flanliulf/speclite/speclite-party-mode/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.

agentmods 80×15 button for speclite-party-mode

Your own site · 80×15
<a href="https://agentmods.dev/skills/flanliulf/speclite/speclite-party-mode"><img src="https://agentmods.dev/badge/skills/flanliulf/speclite/speclite-party-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 693 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.00693
Opus 5 $0.00036 $0.00347
Sonnet 5 $0.00014 $0.00139
Haiku 4.5 $0.00007 $0.00069

Measured 6d ago against content hash 9538ce7b60c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

speclite-party-mode 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 6d 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.

assets/source/speclite/core-skills/speclite-party-mode/SKILL.md · 41 lines

What it actually says

[技能说明] Speclite Party Mode 组织已安装 Speclite agents 进行圆桌讨论。默认使用独立 subagents 产生真实多视角;--solo 模式下由当前模型直接 roleplay 多个 agents,并明确告知用户。

[核心能力] - 参数解析:支持 --model--solo。 - Agent roster 解析:通过 Speclite runtime 解析 agents 列表,获得 code、name、title、icon、description、module 和 team。 - 上下文加载:读取 **/project-context.md,在相关讨论中传递给 agents。 - 声音选择:根据用户问题选择 2-4 个最相关 agents,避免同一组合长期垄断。 - 并行讨论:默认并行 spawn subagents;solo 模式下清晰分段 roleplay。 - 原文呈现:完整呈现每个 agent 的响应,不混合、不压缩、不提前总结。

[执行流程] 1. 解析用户 invocation 中的 --model--solo。 2. 运行 speclite resolve config --project-root {project-root} 解析 merged runtime config 中的 user_name 和 communication_language。 3. 运行 speclite resolve config --project-root {project-root} --key agents 获取 agent roster。 4. 搜索并读取相关 **/project-context.md 作为背景。 5. 欢迎用户,展示 roster,询问要讨论的问题。 6. 每轮根据用户消息选择 2-4 个 agents;用户点名时必须包含点名 agent。 7. 默认并行 spawn agents;--solo 时跳过 spawn 并直接分角色回答。 8. 逐个完整呈现 agent 响应;可选添加简短 Orchestrator Note。 9. 对 follow-up 按用户意图选择单 agent、反应式 agent 或新一轮 roster。 10. 用户结束时简短总结关键 takeaway 并退出 party mode。

[注意事项] - {speclite-runtime-root} = {project-root}/_speclite。 - 默认模式下不要自己编写 agent 回复,必须使用独立 subagent;只有 --solo 才 roleplay。 - 传给 subagent 的 Discussion Context 应控制在 400 字以内。 - 不要混合、转述或压缩 agent 响应。 - 当前运行规约不得依赖旧 runtime 路径或 YAML 配置。

Files

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.

Changes

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.

  1. 6d ago First seen · 41 lines · 72 tokens per session scan A 9538ce7b60c5

Subscribe to this mod's changes

speclite-party-mode is a skill published in the GitHub repository flanliulf/SpecLite (4 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 693 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 2026-09-03.

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