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 skills add monoes/monomind --skill mastermind-intakegit clone --depth 1 https://github.com/monoes/monomindWrote 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/monoes/monomind/mastermind-intake)<a href="https://agentmods.dev/skills/monoes/monomind/mastermind-intake"><img src="https://agentmods.dev/badge/skills/monoes/monomind/mastermind-intake/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/skills/monoes/monomind/mastermind-intake"><img src="https://agentmods.dev/badge/skills/monoes/monomind/mastermind-intake.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 | $0.00030 | $0.01239 |
| Opus 5.5 | $0.00012 | $0.00496 |
| Sonnet 5.5 | $0.00006 | $0.00248 |
| Haiku 4.5 | $0.00003 | $0.00124 |
Grade A, and why
mastermind-intake 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 2d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mastermind Intake Protocol
This file is referenced by master.md and domain commands. Never invoke directly.
Rich Prompt Detection
Count the words in $ARGUMENTS and scan for domain signals.
Rich prompt (skip all intake questions → proceed to execution) if EITHER of these holds:
- A. Long + domain-signaled: word count ≥ 20 AND contains at least one domain signal (build, ship, feature, bug, fix, campaign, marketing, SEO, content, review, audit, research, launch, release, sales, outreach, ops, finance, report).
- B. Concrete imperative: contains a clear imperative verb (fix, add, remove, rename, update, refactor, migrate, upgrade, revert, patch, bump) AND names something specific enough that no reasonable person would need clarifying questions — a file/path, a function/class/component name, an error message or stack-trace fragment, a bug symptom with a concrete detail (a number, duration, status code, version), or a named third-party service/library. This counts as rich even under 20 words and without a goal/outcome phrase. Examples:
- "Fix the login bug where sessions expire after 5 minutes instead of 30"
- "Rename
getUserDatatofetchUserProfilein src/api/users.ts" - "Update the Stripe webhook handler to retry on 502s"
- "Remove the unused
legacyAuthmiddleware"
Vague prompt (run intake): anything that meets neither A nor B.
Even with a rich prompt, if --confirm flag is present: skip to execution but show the plan before spawning agents and wait for "go".
Intake Questions
Ask ONE question at a time. Wait for the answer before asking the next. Stop asking as soon as you have enough to proceed.
Q1 — Goal:
"What outcome defines success for this run? Be as specific as you can — what will be done or produced when we're finished? (Or just say 'you decide' at any point and I'll infer the rest.)"
Q2 — Scope:
Infer the likely domain(s) from the Q1 answer using this keyword mapping (case-insensitive substring match; a "don't over-engineer" heuristic, not a classifier):
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.
- 2d ago First seen · 108 lines · 30 tokens per session scan A 3aa65c7dbc40
mastermind-intake is a skill published in the GitHub repository monoes/monomind (23 stars, last pushed 2d ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,239 once invoked, about $0.0001 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 2026-10-26.
Other skills, from other repositories
compare-harnesses
Diff two scaffolded harnesses (ADR-031). Reports manifest meta drift + host list + per-file fingerprint changes (added/removed/changed). Exits 0 IDENTICAL, 1 DRIFT, 2 missing manifest. Use --bundle for the ADR-031 schema-1 JSON envelope.
create-harness
Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI. Use when a user asks to "create my own agent harness", "scaffold a harness", "make a custom Claude Code plugin like ruflo", or "build a…
diag-harness
Kernel-version skew check (ADR-027). Reports manifest surface + manifest kernel + installed kernel + verdict (match/patch-diff/minor-diff/major-diff). Exits 1 on minor/major skew with a copy-pasteable npm install @metaharness/[email protected] next step. Exits 2 if no .harness/manifest.json at path.
example-harness
Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming…
oia-manifest
Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.
repo-genome
7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.