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/Sh3rd3n/megazordWrote 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/sh3rd3n/megazord/resume)<a href="https://agentmods.dev/commands/sh3rd3n/megazord/resume"><img src="https://agentmods.dev/badge/commands/sh3rd3n/megazord/resume/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/sh3rd3n/megazord/resume"><img src="https://agentmods.dev/badge/commands/sh3rd3n/megazord/resume.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 | $0.00009 | $0.00029 |
| Opus 5.5 | $0.00004 | $0.00012 |
| Sonnet 5.5 | $0.00002 | $0.00006 |
| Haiku 4.5 | $0.00001 | $0.00003 |
Grade A, and why
resume 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 1mo 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.
What it actually says
Invoke the mz:resume skill and follow it exactly as presented to you
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.
- 1mo ago First seen · 6 lines · 9 tokens per session scan A 7fcade72c88c
resume is a command published in the GitHub repository Sh3rd3n/megazord (3 stars, last pushed 8mo ago), licensed MIT. It adds 9 tokens to every session and 29 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
chart
Chart an uncertain destination into a persistent map of decisions, then resolve one ticket per session.
interview
Interview your way to an Exolvra Genesis-ready spec and a single-file interactive mockup — or modify an existing pair. Ends with the exact /exolvra-genesis:run line to fire.
rekindle
Recover a fellowship after a session crash. Scans worktrees and quest state, presents a recovery dashboard, and re-spawns Gandalf with recovered quest context. Use when returning to a crashed or expired fellowship session.
pm-crystallize
Promote a project-local lesson to /.great-pm/decisions.md (cross-project memory) when it has 3+ hits with high confidence. Surfaces candidates as PROPOSALS — never auto-promotes; human approval required.
memories
View and manage learned memories.
reload
Manually rehydrate this session from .reload/session.md.