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.
git clone --depth 1 https://github.com/Mark393295827/third-brain-v7-skillsWrote 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/commands/mark393295827/third-brain-v7-skills/wiki-lint)<a href="https://agentmods.dev/commands/mark393295827/third-brain-v7-skills/wiki-lint"><img src="https://agentmods.dev/badge/commands/mark393295827/third-brain-v7-skills/wiki-lint/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/commands/mark393295827/third-brain-v7-skills/wiki-lint"><img src="https://agentmods.dev/badge/commands/mark393295827/third-brain-v7-skills/wiki-lint.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 | $0.00024 | $0.00218 |
| Opus 5 | $0.00012 | $0.00109 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
wiki-lint 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 12d 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.
What it actually says
Run the wiki-lint skill as a twelve-check health audit:
- required frontmatter and stable identifiers;
- broken wikilinks and unresolved embeds;
- source references and block locators;
- orphan concepts and isolated entities;
- duplicate titles or semantic duplicates;
- stale notes and unresolved contradictions;
- single-source or weak-provenance claims;
- concept structure and understanding-gate integrity;
- clipping archive and source lifecycle;
- permission, immutable-source, and human-approval boundaries;
- daily-loop receipts and flywheel write-back;
- V8.1 promotion-gate readiness for proposed rules.
Before scanning, resolve paths from system/config.md when present. The run is successful only when the skill's ## Success Metrics and ## Quality Gates are satisfied, including writing the report to LINT_REPORT_FILE and avoiding source-file modifications.
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.
- 12d ago First seen · 21 lines · 24 tokens per session scan A 10207b26415c
wiki-lint is a command published in the GitHub repository Mark393295827/third-brain-v7-skills (138 stars, last pushed 21d ago), licensed MIT. It adds 24 tokens to every session and 218 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
Other commands, from other repositories
okf
A command that exports a private knowledge wiki into an OKF-compatible bundle. OKF is a format for packaging knowledge, with a separate guarded mode for preparing material to share externally.
pdf-to-wiki
A workflow for sending a large PDF from Google Drive to NotebookLM, Google's document-analysis tool, and saving the resulting notes as Obsidian markdown files. It passes the file link rather than reading the PDF directly.
ingest
Compile new sources from raw/ into the wiki.
ingest
Ingest a source (URL/file/text) into Raw Sources + compile 1015 Wiki pages, with mandatory user-purpose gate and mothership cross-linking.
lint
Run comprehensive wiki health check — orphans, broken links, contradictions, stale pages, index sync, MOC coverage, v2/v4/v5 frontmatter coverage, Core Context freshness, and cross-vault link integrity (mainVaultRelated/mainVaultCmds).
capture-tabs
Capture a Chrome research tab group or AI-chat research session into LLM Wiki Inbox markdown, then optionally route it through /inbox or /ingest.