mastermind-repeat

mastermind-repeat is a skill for Claude Code, Codex from monoes/monomind. It costs 31 tokens per session (1,810 once invoked), scanned A, original, Apache-2.0.

An implementation-planning guide that turns a feature description into a written list of small coding tasks, file paths, code details, and checks.

In plain words
What is it for?
It helps break down specifications, decide which files to edit, describe expected results, plan tests, and note related documentation.
Why use it?
It gives an engineer who lacks project context a clear route through the work before code is changed. The plan is saved in the project's documentation area.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It helps break down specifications, decide which files to edit, describe expected results, plan tests, and note related documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/monoes/monomind/mastermind-repeat
Install

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.

Any agent
npx skills add monoes/monomind --skill mastermind-repeat
Clone the repo
git clone --depth 1 https://github.com/monoes/monomind

Made for: Claude Code, Codex.

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 mastermind-repeat

README.md
[![agentmods](https://agentmods.dev/badge/skills/monoes/monomind/mastermind-repeat/github.svg)](https://agentmods.dev/skills/monoes/monomind/mastermind-repeat)
Your own site
<a href="https://agentmods.dev/skills/monoes/monomind/mastermind-repeat"><img src="https://agentmods.dev/badge/skills/monoes/monomind/mastermind-repeat/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 mastermind-repeat

Your own site · 80×15
<a href="https://agentmods.dev/skills/monoes/monomind/mastermind-repeat"><img src="https://agentmods.dev/badge/skills/monoes/monomind/mastermind-repeat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,810 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 original No closer match found 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 $0.00031 $0.01810
Opus 5.5 $0.00012 $0.00724
Sonnet 5.5 $0.00006 $0.00362
Haiku 4.5 $0.00003 $0.00181

Measured 2d ago against content hash 80fcf2cd9e67, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mastermind-repeat 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.

.agents/skills/mastermind-repeat/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

REPEAT POSTAMBLE

This postamble is not optional. You MUST execute every step below. You MUST call ScheduleWakeup unless a legitimate stop condition is met (stop file, empty round confirmed by git, or count reached).

Anti-rationalization rules:

  • "I think the work is done" is NOT a reason to stop. Only the checks below decide.
  • "The skill already handled everything" is NOT a reason to skip this postamble.
  • "There's nothing more to do" is NOT your decision — the tillend check decides.
  • For --repeat N: you MUST run all N iterations. The count is non-negotiable. You cannot stop at run 3 of 5 because you think 3 was enough.
  • For --tillend: you MUST continue until git AND your assessment BOTH confirm an empty round. Your feeling that "it's probably clean" is not evidence.

If you are about to end your response without calling ScheduleWakeup and you have not hit a legitimate stop condition, YOU ARE MAKING AN ERROR. Go back and call ScheduleWakeup.

If neither tillend_mode = true nor repeat_count ≥ 2 was active in this invocation, stop immediately — this skill is a no-op.

Otherwise execute all steps below before ending the response.


Step 1 — Stop check

[ -f ".monomind/loops/${LOOP_ID}.stop" ] && echo "STOP_REQUESTED"

If the stop file exists:

  • Output: [repeat] Stop requested. Halting after run <current_rep>.
  • Run: rm -f ".monomind/loops/${LOOP_ID}.json" ".monomind/loops/${LOOP_ID}.stop"
  • END (do not continue to Step 2).

Step 2 — Tillend termination check (tillend mode only — skip for fixed-count)

LOOP_ASYNC_PENDING escape hatch: If the calling skill set LOOP_ASYNC_PENDING=true before invoking this postamble (because it spawned background agents whose results have not yet arrived), skip the empty-round check and go directly to Step 4 to schedule the next run. Output: [tillend] Async work in flight — deferring empty-round check to run <next_rep>.

Read the full file on GitHub · 147 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. 2d ago First seen · 147 lines · 31 tokens per session scan A 80fcf2cd9e67

Subscribe to this mod's changes

mastermind-repeat is a skill published in the GitHub repository monoes/monomind (23 stars, last pushed 2d ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,810 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.

Related

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.

ruvnet/metaharness · 66 tokens

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…

ruvnet/metaharness · 89 tokens

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.

ruvnet/metaharness · 85 tokens

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…

ruvnet/metaharness · 90 tokens

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.

ruvnet/metaharness · 79 tokens

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.

ruvnet/metaharness · 73 tokens