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.
git clone --depth 1 https://github.com/ANcpLua/ancplua-claude-pluginsWrote 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/commands/ancplua/ancplua-claude-plugins/mega-swarm)<a href="https://agentmods.dev/commands/ancplua/ancplua-claude-plugins/mega-swarm"><img src="https://agentmods.dev/badge/commands/ancplua/ancplua-claude-plugins/mega-swarm/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/commands/ancplua/ancplua-claude-plugins/mega-swarm"><img src="https://agentmods.dev/badge/commands/ancplua/ancplua-claude-plugins/mega-swarm.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 | $0.00042 | $0.01642 |
| Opus 5.5 | $0.00017 | $0.00657 |
| Sonnet 5.5 | $0.00008 | $0.00328 |
| Haiku 4.5 | $0.00004 | $0.00164 |
Grade A, and why
mega-swarm 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MEGA SWARM — Parallel Codebase Audit
Maximum coverage. Every angle. One report.
Scope: $0 (default: full | full|src|tests|config|security) Focus: $1 (optional focus area) Mode: $2 (default: full | full|quick|focused) Quick: $3 (default: false — same as mode=quick)
TEAM ARCHITECTURE
SWARM LEAD (You — Orchestrator)
│
├─ Full mode (12 agents) ─────────────────────
│ ├── arch-auditor ├── api-auditor
│ ├── security-auditor ├── dependency-auditor
│ ├── perf-auditor ├── config-auditor
│ ├── test-auditor ├── docs-auditor
│ ├── quality-auditor ├── consistency-auditor
│ ├── error-auditor └── bug-hunter
│
├─ Quick mode (6 agents) ─────────────────────
│ ├── arch-auditor ├── security-auditor
│ ├── perf-auditor ├── test-auditor
│ ├── quality-auditor └── bug-hunter
│
├─ Focused mode (8 agents) ───────────────────
│ └── $1-related auditors + adjacent concerns
│
└── GATE → >=80% complete → SYNTHESIZE
<CRITICAL_EXECUTION_REQUIREMENT>
STEP -1 — Inherit Prior Findings:
If <EXODIA_FINDINGS_CONTEXT> tag exists in session context, .eight-gates/artifacts/findings.json already
has prior scan data. Report existing findings instead of re-scanning. Only launch agents for UNCOVERED areas.
STEP FINAL — Persist Findings:
After synthesis, write ALL findings to .eight-gates/artifacts/findings.json:
{"session":"[ID]","source":"mega-swarm","total_findings":N,"by_category":{...},"findings":[{"id":"...","category":"...","severity":"P0-P3","title":"...","files":[...],"fix":"...","effort":"S|M|L|XL"}]}
This enables auto-inherit for ALL downstream Exodia skills in parallel sessions.
Launch ALL agents for selected mode in ONE message. NOTHING ELSE.
- Full ($2=full or unspecified): 12 agents
- Quick ($2=quick or $3=true): 6 agents
- Focused ($2=focused): 8 agents relevant to $1
Wait for completion. Synthesize. Report.
YOUR NEXT MESSAGE: Task tool calls for selected mode. NOTHING ELSE.
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.
- 14d ago First seen · 193 lines · 42 tokens per session scan A b9c8352529c8
mega-swarm is a command published in the GitHub repository ANcpLua/ancplua-claude-plugins (6 stars, last pushed 3d ago), licensed MIT. It adds 42 tokens to every session and 1,642 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-01.
Other commands, from other repositories
refactor
Systematic code refactoring with smart scope detection.
review-branch
Review the current branch's diff against base by dispatching atomic-reviewer. No orchestration loop, no spec required — pre-flight before /commit pr or /commit merge.
init
Install the formatters this repository needs, with every command visible before it runs.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
boot
Start a new PromptKit prompt assembly session (alias for /bootstrap).
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.