siege

siege is a skill for Claude Code from thevibeworks/claude-code-docs. It costs 107 tokens per session (18,238 once invoked), scanned A, a copy of siege, MIT.

A workflow for investigating one difficult mathematics problem in rounds. A judge writes focused questions, independent workers answer them, and the judge records what is proved, disproved, or still open before producing proof.md.

In plain words
What is it for?
Use it for extended mathematical investigations that need repeated questioning, independent checks, a claim ledger, and a final proof report.
Why use it?
Long proof attempts need a way to divide the work, check conclusions, and preserve partial results. This workflow prevents an unverified claim from being presented as a completed proof.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents; names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the math-proof plugin — 2 skills, 3 agents shipped together

Good fit Use it for extended mathematical investigations that need repeated questioning, independent checks, a claim ledger, and a final proof report.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add thevibeworks/claude-code-docs
Claude Code
/plugin install math-proof

Made for: Claude Code.

Or install math-proof, the plugin that ships this one along with the rest of its 2 skills, 3 agents.

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 siege

README.md
[![agentmods](https://agentmods.dev/badge/skills/thevibeworks/claude-code-docs/siege/github.svg)](https://agentmods.dev/skills/thevibeworks/claude-code-docs/siege)
Your own site
<a href="https://agentmods.dev/skills/thevibeworks/claude-code-docs/siege"><img src="https://agentmods.dev/badge/skills/thevibeworks/claude-code-docs/siege/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 siege

Your own site · 80×15
<a href="https://agentmods.dev/skills/thevibeworks/claude-code-docs/siege"><img src="https://agentmods.dev/badge/skills/thevibeworks/claude-code-docs/siege.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 18,238 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 100% copy Near-identical to another mod 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 $0.00107 $0.18238
Opus 5.5 $0.00043 $0.07295
Sonnet 5.5 $0.00021 $0.03648
Haiku 4.5 $0.00011 $0.01824

Measured 14d ago against content hash f40134d3b418, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

siege 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 14d 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.

Origin

This is a copy

100% identical to siege — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

content/github/claude-plugins-official/plugins/math-proof/skills/siege/SKILL.md · 733 lines

How it starts

The opening of the file, as written. The whole thing — 733 lines — stays where its author put it; the contents beside it link to each section on GitHub.

math-proof: siege

The approach

The skill works on one problem in at most MAX_ROUNDS rounds. Each round a judge writes a few self-contained questions, at most WAVE of them before round ESC_ROUND. The steps below call them queries. Each question goes to a fresh worker that sees only that question and the problem statement. The judge reads the answers, rewrites the running summary, and adds to a ledger of claims marked PROVED, REFUTED or OPEN. One claim is the goal, set in round 1; the judge may set a new goal at a later round, and in particular may raise it to a more significant statement once it is proved (the proved goal then stays in the ledger as the fallback result, to which the judge returns if two waves bring the raised goal no nearer; when the goal is raised you tell the user and copy the proved result to DIR/result-so-far.md). When an answer holds a complete written proof or disproof of the goal, two more workers check that exact text line by line. Once both pass, the judge concludes or raises the goal. Before round MIN_ROUNDS, that is the only way to conclude. From round ESC_ROUND on, if no complete proof or disproof is in hand, a round may hold up to WAVE_DEEP questions for higher-effort workers. All but at most two of them aim at the one statement still missing from the proof. After the rounds end, the judge writes a self-contained proof.md, a worker checks it, and the judge finalizes it. Unless the goal the run ends on was both proved and checked twice during the rounds, there are also extra revision passes and a last wave of full proof attempts before finalizing. proof.md has a Status section that says plainly what is and is not proved. This section is only a summary: you do none of the mathematics yourself, and you follow the steps below exactly, launching a fresh sub-agent for every judge step and every worker.

You are the ORCHESTRATOR of this protocol. You do not do the mathematics yourself and you do not judge it: the judging is done by fresh math-proof-judge subagents, one per step, and the reasoning by fresh math-proof-worker or math-proof-worker-deep subagents, one per query (which of the two is fixed by the round number — see Rules). Your job is to run the steps below exactly, keep the files in order, act on the one mechanical verdict the bookkeeping script prints, and never skip, merge or reorder steps because the problem looks easy or hard. Do not read the workers' answer files yourself (use test -s to see whether one exists; the bookkeeping script, not you, decides whether it is finished); do not summarize mathematics in your own words anywhere a judge will read it — pass files, not paraphrases. Work unattended to the end: there is nobody to answer questions.

Read the full file on GitHub · 733 lines

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. 14d ago First seen · 733 lines · 107 tokens per session scan A f40134d3b418

Subscribe to this mod's changes

siege is a skill published in the GitHub repository thevibeworks/claude-code-docs (150 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 18,238 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to siege, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

arxiv

Search arXiv papers by keyword, author, category, or ID.

NousResearch/hermes-agent · 18 tokens

amj-contribution-framing

Use when turning results into an explicit theoretical contribution for an Academy of Management Journal (AMJ) manuscript — the "what new theory do we learn?" statement and the discussion section. Frames the contribution and implications; it does not build the original theory (amj-theory-development) or run the…

brycewang-stanford/Awesome-Journal-Skills · 73 tokens

aistats-experiments

Use when designing or auditing AISTATS experiments, simulations, baselines, statistical tests, uncertainty estimates, ablations, random seeds, hyperparameters, compute, dataset handling, and claim-to-evidence fit, with emphasis on experiments that validate theorems rather than chase leaderboards.

brycewang-stanford/Awesome-Journal-Skills · 64 tokens

alterlab-qiime2-amplicon

Runs 16S/ITS amplicon (microbiome) analysis with the QIIME 2 distribution (2026.7; the "amplicon" distribution was renamed "qiime2" in 2026.4) in the correct order: manifest import, cutadapt trim-paired primer removal BEFORE dada2 denoise-paired (trunc-len chosen from the demux quality .qzv), feature-classifier…

AlterLab-IEU/AlterLab-Academic-Skills · 270 tokens

alterlab-molecular-dynamics

Runs and analyzes molecular dynamics simulations with OpenMM and MDAnalysis — setting up protein and small-molecule systems, assigning force fields, running energy minimization and production MD, and analyzing trajectories (RMSD, RMSF, contact maps, free energy surfaces). Use when simulating protein or ligand…

AlterLab-IEU/AlterLab-Academic-Skills · 98 tokens

alterlab-zinc-db

Access the ZINC database of 230M+ commercially available (purchasable) compounds, searching by ZINC ID or SMILES, running similarity searches, and downloading 3D-ready structures. Use when assembling a compound library for virtual screening, finding purchasable analogs, or obtaining docking-ready 3D structures for…

AlterLab-IEU/AlterLab-Academic-Skills · 85 tokens