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 agentmods add skills/monkilabs/opencastle/panel-majority-votenpx skills add monkilabs/opencastle --skill panel-majority-votegit clone --depth 1 https://github.com/monkilabs/opencastleWrote 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/monkilabs/opencastle/panel-majority-vote)<a href="https://agentmods.dev/skills/monkilabs/opencastle/panel-majority-vote"><img src="https://agentmods.dev/badge/skills/monkilabs/opencastle/panel-majority-vote.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.00823 |
| Opus 5 | $0.00022 | $0.00411 |
| Sonnet 5 | $0.00009 | $0.00165 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
panel-majority-vote 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Panel majority vote
Inputs / Outputs
Inputs: <runRoot>, <panelKey> (filesystem-safe), question text, artifact list. Panel dir default: <runRoot>/panel/.
| File | Path |
|---|---|
| Prompt payload (optional) | <panelDir>/<panelKey>-panel-prompt.md |
| Raw reviewer outputs | <panelDir>/<panelKey>-reviewer-outputs.md |
| Consolidated report | <panelDir>/<panelKey>.md |
Procedure
-
Validate scope — every artifact path under
<runRoot>; list sufficient to answer question. -
Spawn 3 reviewers in parallel — three sub-agent dispatches with identical prompts (same question, artifact list, constraints), each isolated. Required reviewer output sections (no others):
VERDICT: PASS | BLOCK,MUST-FIX:,SHOULD-FIX:,QUESTIONS:,TEST IDEAS:,CONFIDENCE: low | med | high. -
Persist outputs — write
<panelDir>/<panelKey>-reviewer-outputs.mdwith a header (run root, panel key, question, artifacts) and each reviewer output verbatim, separated. -
Consolidate — parse each reviewer output for its
VERDICT:line and count PASS votes. Overall verdict = PASS if pass_count ≥ 2; otherwise BLOCK. DeduplicateMUST-FIX:andSHOULD-FIX:items and annotate each item with(N/3 reviewers).
# count PASS/BLOCK from combined outputs
pass_count=$(grep -o "VERDICT: PASS" panel/run123-reviewer-outputs.md | wc -l)
block_count=$(grep -o "VERDICT: BLOCK" panel/run123-reviewer-outputs.md | wc -l)
verdict=$([ "$pass_count" -ge 2 ] && echo PASS || echo BLOCK)
# emit a minimal JSON summary using jq (install jq if needed)
jq -n --arg panel_key "run123-panel" --arg verdict "$verdict" --argjson pass_count $pass_count --argjson block_count $block_count '{panel_key:$panel_key, verdict:$verdict, pass_count:$pass_count, block_count:$block_count}' > panel/run123-summary.json
- Write report — create
<panelDir>/<panelKey>.mdfrom panel-report.template.md, referencing the generated summary. Minimal structure:
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.
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.
- 3d ago First seen · 56 lines · 44 tokens per session scan A c861d7b87285
panel-majority-vote is a skill published in the GitHub repository monkilabs/opencastle (61 stars, last pushed 9d ago), licensed MIT. It adds 44 tokens to every session and 823 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 2026-09-03.
Other skills, from other repositories
simplify-skill
Universal, high-intelligence ecosystem-aware code simplification skill. Detects ANY programming language, framework, package manager, and exact version in use. Consults modern documentation via web search and Context7, and orchestrates specialized sub-agents applying strict, universal engineering heuristics.
code-review
Use when code has been written and needs validation before committing, or when the user asks for a code review or security check.
code-review
AI-powered code review for diffs and individual files using LLM analysis.
code-review-github
GitHub PR workflow orchestration for code review — list PRs, post comments, apply labels, and guarded auto-merge.
code-review-standards
Discover and apply organization coding standards from .forge-review/ configuration.
product-architect
Complete product development system with 80 agents and 36 frameworks. Use when the user wants to build a product, write a PRD, plan an MVP or roadmap, design an app, research a market or check whether a feature already exists or is novel, do competitive analysis, run a security audit, build a financial model, plan…