ソース情報
- リポジトリ
- tomevault-io/tomes
- ソースの最終更新活動
- 2026年7月23日 21:48
- 検出された SKILL.md の言語
- 英語
- スター
- 1
- フォーク
- 0
インストール方法
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
ソースファイルを確認
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
メニュー
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/tomevault-io/tomes --skill frontmatter-guardコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか?SkillsMP が現在取得できるファイルをダウンロードできます。
> Use when this capability is needed.
Use when writing kernel, account, or note MASM code that reads from or writes to the advice provider (advice stack / advice map) — validate advice data.
Use when writing a Rust test that exercises a failure path or a MASM test that expects a `panic` / `assert` — assert on the specific expected error variant or error code.
SOC 職業分類に基づく
SKILL.md を表示中
| name | frontmatter-guard |
| description | | Use when this capability is needed. |
Convention: see
references/conventions/quality.mdfor citation rules; this skill is structural validation, not citation auditing.
This skill guarantees:
---, null bytes, slug mismatch) are auto-repairable on demand with .bak backupsgbrain doctor's frontmatter_integrity subcheck — single source of truthBrain pages pile up over months. Agents write them with malformed frontmatter:
--- (entity detector bugs)title: "Phil "Nick" Last")Without a guard, these accumulate silently until gbrain sync chokes or search returns garbage. The guard makes the failure visible at audit time and trivially fixable.
| Code | Meaning | Auto-fixable? |
|---|---|---|
MISSING_OPEN | File doesn't start with --- | No (needs human) |
MISSING_CLOSE | No closing --- before first heading | Yes |
YAML_PARSE | YAML failed to parse | Sometimes (depends on cause) |
SLUG_MISMATCH | Frontmatter slug: differs from path-derived slug | Yes (removes the field) |
NULL_BYTES | Binary corruption (\x00) | Yes |
NESTED_QUOTES | title: "outer "inner" outer" shape | Yes |
EMPTY_FRONTMATTER | Open + close present but nothing between | No (needs human) |
Run a read-only scan across all registered sources (or one with --source <id>).
gbrain frontmatter audit --json
Reports:
Output is JSON; agents parse errors_by_code and per_source to decide next steps.
Validate a single file or directory (does not require source registration):
gbrain frontmatter validate <path> --json
Exit code 0 = clean; 1 = errors found. Use this in CI pipelines or pre-commit hooks.
When issues are found:
gbrain frontmatter validate <path> --fix
--fix writes <file>.bak for every modified file before mutating. The backup is the safety contract — works whether the brain is a git repo or a plain directory.
--dry-run previews without writing. Use this before applying fixes in batch.
For brain repos that ARE git repos, install the pre-commit hook to block malformed pages from being committed in the first place:
gbrain frontmatter install-hook [--source <id>]
The hook runs gbrain frontmatter validate against staged .md/.mdx files. Bypass with git commit --no-verify.
When the user says any of these, route here:
gbrain frontmatter audit --json first; never assume a brain is clean.--fix operations: state how many files will be modified BEFORE running, then confirm.SLUG_MISMATCH fixes remove the frontmatter slug: field — gbrain derives slug from path. Mention this when the user's title is intentionally renamed.MISSING_OPEN or EMPTY_FRONTMATTER without explicit user input — these usually mean a human author started a page and didn't finish.gbrain doctor — the frontmatter_integrity subcheck reports the same counts as audit.references/maintain/SKILL.md — broader brain health audit; chain after this skill if other classes of issue are suspected.references/lint/SKILL.md (via gbrain lint) — overlapping rules for skill-file lint; the frontmatter-* rule names in lint output come from this skill's validation surface.Audit summary (terse, agent-friendly):
Frontmatter audit — 17 issue(s) across 1 source(s)
[default] /Users/me/brain
17 issue(s)
MISSING_CLOSE: 8
NESTED_QUOTES: 5
NULL_BYTES: 4
sample:
people/jane.md — MISSING_CLOSE
companies/acme.md — NESTED_QUOTES
(+ 12 more)
Fix with: gbrain frontmatter validate /Users/me/brain --fix
JSON envelope (when --json is passed):
{
"ok": false,
"total": 17,
"errors_by_code": { "MISSING_CLOSE": 8, "NESTED_QUOTES": 5, "NULL_BYTES": 4 },
"per_source": [
{
"source_id": "default",
"source_path": "/Users/me/brain",
"total": 17,
"errors_by_code": { "MISSING_CLOSE": 8, "NESTED_QUOTES": 5, "NULL_BYTES": 4 },
"sample"
gbrain frontmatter validate <path> --json returns a similar envelope keyed on per-file results instead of per-source.
This is the most important section. Fixing broken frontmatter is good. Not writing broken frontmatter in the first place is better.
# Correct: single-quoted YAML flow (canonical form gbrain emits)
tags: ['yc', 'w2025', 'ai']
# Correct: unquoted scalars (fine when values have no special chars)
tags: [yc, w2025, ai]
# Correct: block style
tags:
- yc
- w2025
# Tolerated post-v0.37.5.0 but non-canonical: JSON-style double quotes
tags: ["yc", "w2025"]
# Broken: mixed JSON objects and strings (invalid YAML)
tags: [{"name": "sports"}, "posterous"]
Why this used to break: before v0.37.5.0, the validator counted unescaped " characters and flagged any line with 3+. A flow sequence like tags: ["yc", "w2025"] has 4 unescaped " by design — it's valid YAML, but the dumb counter flagged it anyway. One brain saw 6,981 of these on a single doctor run. v0.37.5.0 parses suspicious values with js-yaml.safeLoad before flagging, so JSON-style arrays no longer trigger NESTED_QUOTES.
Why you should still write the canonical form: the auto-fix engine (gbrain frontmatter validate --fix) and the inferred-frontmatter serializer both emit single-quoted YAML for tags: / aliases:. Writing the canonical form in new content keeps the source files stylistically consistent and makes diffs against --fix runs empty.
The classic LLM trap: code like tags: [${items.map(t => JSON.stringify(t)).join(', ')}] produces tags: ["yc", "w2025"]. Use single quotes with an apostrophe fallback: tags: [${items.map(t => t.includes("'") ? JSON.stringify(t) : "'" + t + "'").join(', ')}]. Or use a YAML library that knows how to emit canonical YAML.
# Correct: single quotes for values with special chars
title: 'My "Quoted" Title'
# Correct: double quotes when value has apostrophes
title: "Men's Fashion Guide"
# Broken: double quotes wrapping inner double quotes
title: "My "Quoted" Title"
type: person, batch: w2025: " ' # [ ] { } | > & * ! ? , or starts with @Don't auto-fix MISSING_OPEN or EMPTY_FRONTMATTER without user input. These usually mean a human author started a page and didn't finish — silently inserting --- markers around an unfinished draft is wrong.
Don't use --fix to "make doctor green" without reading the audit first. SLUG_MISMATCH cases are surfaced for manual review specifically because gbrain derives the slug from path. A mismatch usually means the user renamed a file intentionally; auto-removing the slug field is the right outcome only when you've confirmed the rename was deliberate.
Don't skip the .bak backups. The .bak is the safety contract for non-git brain repos. If .bak files accumulate after a fix run, that's a feature, not a bug — the user can review the diffs and delete the backups when satisfied.
Don't run audit on a brain where sources aren't registered. The CLI returns "no registered sources to audit" gracefully, but the migration emits a skipped: no_sources phase result. Don't paper over this with a manual path-walk; the right fix is to register the source via gbrain sources add.
Don't install the pre-commit hook on non-git brain dirs. The install-hook command skips them automatically with a one-line note. If you see "skipped — not a git repo" and want validation at write time anyway, use the audit command on a cron schedule.
Source: beyonai/ByClaw — distributed by TomeVault.