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Hon maguro

Skill stevederico/hon-maguro/skills/hon-maguro

Evaluate any project against fixed "Hon Maguro" quality bars via bin/maguro (init/links/eval), optional Lighthouse median for SCORE1, and a capped fix loop (max 2 rounds). Binary pass/fail — no partial credit. Use when the user says "hon maguro", "eval this project", "quality bar check", "is this project ready", "audit code quality", or wants a pass/fail verdict against Hon Maguro standards. Do not use for generic Lighthouse/PageSpeed-only or open-ended "inspect and fix" requests unless they ask for Hon Maguro / these bars.From its SKILL.md

Install
npx -y skills add stevederico/hon-maguro --skill hon-maguro

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

4.8 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

hon-maguro

Binary quality gate: a project either meets every fixed bar (HON MAGURO) or it Fails. No partial credit. Bars → STANDARDS.md. Anti-gaming → MEET.md.

bin/maguro is a self-contained Bash CLI (curl + python3 only). Scripts ship next to this skill.

Paths

Skill root (after install): ~/.agents/skills/hon-maguro/

SKILL="$HOME/.agents/skills/hon-maguro"
"$SKILL/bin/maguro" eval  <path>
"$SKILL/bin/maguro" init  <path>
"$SKILL/bin/maguro" links <path>
"$SKILL/bin/maguro" help
"$SKILL/bin/lighthouse-median" <url> [runs]

From a clone of this repo: ./bin/maguro (wrapper) or ./skills/hon-maguro/bin/maguro.

Invoke

bin/maguro eval  <path>   # full eval — writes HON-MAGURO-EVAL-REPORT.md
bin/maguro init  <path>   # drop blank HON-MAGURO-EVAL.md
bin/maguro links <path>   # SCORE3 only (curl, no install)
bin/maguro help

bin/lighthouse-median <url> [runs]   # SCORE1: Performance median of 3 (=100 to pass)

Typical flow:

  1. bin/maguro init <path> — blank EVAL form (bar IDs + evidence cells).
  2. Fill each evidence cell with a number, count, or binary (never prose).
  3. For web UIs: bin/lighthouse-median <url> → paste Performance median into SCORE1.
  4. bin/maguro eval <path> — per-bar table + verdict + fail tips.

What eval checks

  • Auto: CODE3 (strict + 0 any), REPO1 (secrets), REPO2 (deps ≤20), SCORE3 (links).
  • HUMAN (evidence required): SPEED1–5, TEST1, SCORE1, SCORE2, DOCS1, CODE1, CODE2, REPO3, OPS1–6. Confirm against STANDARDS.md.

Reading the output

  • Status: PASS / FAIL / HUMAN.
  • result: HON MAGURO only when FAIL=0 and HUMAN=0.
  • On FAIL: how to pass: tips (also in HON-MAGURO-EVAL-REPORT.md).

SCORE1 — Lighthouse

Bar: Performance median of 3 runs = 100 (N/A if no web UI).

bin/lighthouse-median https://localhost:3000
bin/lighthouse-median https://myapp.com 3
  • Shells out to npx lighthouse (no package.json dep); needs Node + Chrome; median via python3.
  • Paste e.g. Lighthouse perf median=100 (3 runs) — https://myapp.com into SCORE1 evidence.
  • Real product URL only; fix root cause — never suppress audits.

Inspect → fix (capped, max 2 rounds)

Not open-ended. Infinite "until green" invites cheating the meter.

bin/maguro init  <path>   # if needed
bin/maguro eval  <path>   # round 0 baseline
# fix real FAILs (product, not meter)
bin/maguro eval  <path>   # round 1
# optional second fix
bin/maguro eval  <path>   # round 2 — last

Stop when: HON MAGURO · 2 fix cycles done · remaining is HUMAN/measure · only MEET-violating options left.

Allowed fixes (product, not meter)

FAILHonest fix
CODE3"strict": true; replace any / as unknown as with unknown + narrowing
REPO1Untrack .env; remove secret-shaped strings; rotate if real
REPO2Drop unused deps; or one-line why for each past 20 in EVAL
SCORE3Fix broken links (maguro links)
TEST1Fix failures/flakes; add flow tests — never delete tests to go green
DOCS1README alone boots a stranger (commands exit 0)
CODE1/2Glossary↔schema 1:1; one auth path; 0 user-facing stack leaks
SPEED*Prefetch first; then real perf — measure every product URL
SCORE1bin/lighthouse-median; fix root cause to median 100
SCORE2Fix React Doctor findings — don't disable rules
OPS*Real napkin/prod numbers; prove restore once

Forbidden (MEET)

  • Secret eval mode / cherry-picked routes
  • Suppress Lighthouse/Doctor/lint/tests to fake 100
  • @ts-ignore, blanket any, delete tests, fake N/A
  • Invent SPEED/OPS/Lighthouse numbers
  • Loop past 2 fix rounds

Report after fix rounds

rounds: <n>/2
result: HON MAGURO | FAIL
fixed: <bar ids>
still open: <FAIL + HUMAN needing measure>
next human step: <one line or none>

Rules (MEET.md)

  • Same path users take.
  • Fix the product, not the meter.
  • Named exception + measured number beats a fake pass.

What ships with it: 5 files

20.2 KB alongside SKILL.md, 2 of them executable

bin/

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.