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 iroha924/mumei --skill kindlegit clone --depth 1 https://github.com/iroha924/mumeiWrote 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/iroha924/mumei/kindle)<a href="https://agentmods.dev/skills/iroha924/mumei/kindle"><img src="https://agentmods.dev/badge/skills/iroha924/mumei/kindle/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/iroha924/mumei/kindle"><img src="https://agentmods.dev/badge/skills/iroha924/mumei/kindle.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 | $0.00083 | $0.02101 |
| Opus 5 | $0.00042 | $0.01051 |
| Sonnet 5 | $0.00017 | $0.00420 |
| Haiku 4.5 | $0.00008 | $0.00210 |
Grade D, and why
kindle scanned grade D with 2 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 10d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- Role: One-time setup that installs mumei into a project Input: user instruction Output: create .mumei/ directory + propose additions to CLAUDE.md / .claude/rules/ Principle: Never modify existing files without user Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
test -f .gitignore && grep -qxF ".claude/agent-memory-local/" .gitignore How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kindle
Set up mumei for the current project. This skill is run once per project. It:
- Creates the
.mumei/directory structure. - Detects existing
CLAUDE.md/.claude/rules/*.md. - Proposes additions about mumei's expectations and applies them with explicit user approval.
When to use
- The user explicitly says "set up mumei", "install mumei in this project", or invokes
/mumei:kindle. - The first time
/mumei:composeis invoked in a project where.mumei/does not exist (route to this skill first).
Method
Step 1 — Detect existing project memory
Read all of:
CLAUDE.md(project root).claude/CLAUDE.md~/.claude/CLAUDE.md(user-level, read-only).claude/rules/*.mdAGENTS.md(if present)
Summarize what is currently in place. Do NOT modify anything yet.
Step 2 — Create .mumei/ directory and its .gitignore
mkdir -p .mumei/specs .mumei/archive .mumei/scratch
[[ -f .mumei/current ]] || : > .mumei/current # empty until first feature
Generate .mumei/.gitignore so team-shared spec content (requirements / design / tasks / spec-reviews / reviews / scratch / archive) is tracked, while per-developer state (current cursor, state.json progress) is ignored. Do not overwrite an existing .mumei/.gitignore — the user may have customized it.
if [[ ! -f .mumei/.gitignore ]]; then
cat > .mumei/.gitignore <<'EOF'
# mumei: per-developer state only. Everything else (config.json,
# specs/*/{requirements,design,tasks}.md, spec-reviews/, reviews/, scratch/,
# archive/) is tracked for team handoff — config.json carries golden_paths, so
# it MUST be committed for G1/G2 to behave the same across teammates / CI.
current
specs/*/state.json
EOF
fi
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.
- 10d ago First seen · 200 lines · 83 tokens per session scan D 3fdd46c0e1d6
kindle is a skill published in the GitHub repository iroha924/mumei (2 stars, last pushed 3d ago), licensed MIT. It adds 83 tokens to every session and 2,101 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it D with 2 findings (hidden instructions, reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
harness
A meta-skill for designing and maintaining a project harness: a coordinated set of specialist agents, skills, and project instructions. It defines their roles, connects them to the project, and updates the setup as the work changes.
evaluator-write-qa-parallel
Internal Auto-Harness evaluator skill for parallel sprint QA and QA report writing. Use only inside the Evaluator subagent during evaluatorqaparallel.
evaluator-write-qa
Internal Auto-Harness evaluator skill for sprint QA and QA report writing. Use only inside the Evaluator subagent during qa mode.
evaluator-review-contract-parallel
Internal Auto-Harness evaluator skill for parallel sprint contract review before implementation. Use only inside the Evaluator subagent during review mode.
evaluator-write-final-parallel
Internal Auto-Harness evaluator skill for parallel final QA report aggregation. Use only inside the Evaluator subagent during evaluatorfinalparallel.
evaluator-write-retest-parallel
Internal Auto-Harness evaluator skill for parallel sprint retest and retest report writing. Use only inside the Evaluator subagent during evaluatorretestparallel.