st-panel

st-panel is a skill for Claude Code from pbvcity/supathink. It costs 38 tokens per session (129 once invoked), scanned A, original, Apache-2.0.

A Supathink panel workflow in which three different perspectives work in parallel and a judge combines their results.

In plain words
What is it for?
Use it when a coding agent should evaluate a problem from multiple viewpoints and then combine the findings.
Why use it?
It reduces reliance on one line of reasoning by comparing several perspectives before producing the answer.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the st plugin — 15 skills, 13 commands shipped together

Good fit Use it when a coding agent should evaluate a problem from multiple viewpoints and then combine the findings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pbvcity/supathink/st-panel
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 pbvcity/supathink --skill st-panel
Clone the repo
git clone --depth 1 https://github.com/pbvcity/supathink

Made for: Claude Code.

Or install st, the plugin that ships this one along with the rest of its 15 skills, 13 commands.

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 st-panel

README.md
[![agentmods](https://agentmods.dev/badge/skills/pbvcity/supathink/st-panel/github.svg)](https://agentmods.dev/skills/pbvcity/supathink/st-panel)
Your own site
<a href="https://agentmods.dev/skills/pbvcity/supathink/st-panel"><img src="https://agentmods.dev/badge/skills/pbvcity/supathink/st-panel/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 st-panel

Your own site · 80×15
<a href="https://agentmods.dev/skills/pbvcity/supathink/st-panel"><img src="https://agentmods.dev/badge/skills/pbvcity/supathink/st-panel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 129 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 $0.00038 $0.00129
Opus 5 $0.00019 $0.00064
Sonnet 5 $0.00008 $0.00026
Haiku 4.5 $0.00004 $0.00013

Measured 9d ago against content hash a9ccf0c1319d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

st-panel 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.

plugins/st/codex-skills/st-panel/SKILL.md · 10 lines

What it actually says

SUPATHINK_PANEL=panel

本轮属 supathink 超限思考「/st:panel」:异构三席并行 + Judge 综合(后台跑,下轮强制可见交付)。 把上面的标记行原样置于你要提交的内容最前(供 supathink daemon 识别),再正常完成用户请求。 $ARGUMENTS

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. 9d ago First seen · 10 lines · 38 tokens per session scan A a9ccf0c1319d

Subscribe to this mod's changes

st-panel is a skill published in the GitHub repository pbvcity/supathink (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 129 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

paper-verify-webchat

Use when the user asks to fact-check, verify, or score the citations/sources/references in a document from a chat (no terminal) — extracts citations with bundled code, fetches and judges each source with web tools, then scores through paper-verify's standard 100-point rubric via --from-evidence.

nolainjin/paper-verify · 70 tokens

paper-verify

Use when the user asks to verify citations, audit source links, check blog/report/lecture references, or reduce a long bibliography to sources that need human review using the paper-verify CLI or MCP tools.

nolainjin/paper-verify · 45 tokens

groundcheck

Verify factual claims against live web sources before asserting them. Use when about to state a fact you are not certain of (a date, number, name, statistic), or before publishing AI-generated text that makes factual claims. Returns a verdict (supported/refuted/unverified), a confidence score, and citations.

beepboop2025/groundcheck · 64 tokens

lenz-fact-check

Fact-check factual claims against independent web sources using the Lenz MCP server (the assessclaim / verifyclaim tools). Use this whenever the user wants to know whether something is actually true, asks you to verify or sanity-check a factual statement, wants a paragraph / article / blog post / document / dataset…

lenzhq/lenz-mcp · 168 tokens

fact-check-social-media-posts

Verify claims in social media posts by checking evidence, evaluating source independence, and flagging rhetorical fallacies.

cellear/claude-fact-check-skill · 27 tokens

fact-check

Systematically fact-check AI-generated research reports and data-heavy documents. Trigger when the user asks to verify, fact-check, validate, or audit a report or document — especially those containing financial figures, market data, or claims sourced from web searches. Not for code review or general editing.

Nlai741533/EFC-Plugin · 60 tokens