ai-tool-watch
CLAUDE.md11 starsChanged 4 months agoMITView on GitHub
Agent guidance for working in this repo. See AGENTS.md for the canonical build-pipeline rules (this file supplements it, doesn't replace it). A plain-English, verified reference for AI tool capabilities, plan gates, and constraints — for humans and agents. Canonical URL: https://aitool.watch/. Covers 18 capabilities and ~87 implementations across hosted products at roughly 1% or greater market share: ChatGPT, Claude, Copilot, Gemini, Perplexity, Grok, and Meta AI. Self-hosted runtimes and the 11 open-model access records were frozen on 2026-10-11 (see data/archive/…
In this repository5 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/llms.txtllms.txt
- capability-auditSkill
- capability-scannerSkill
- weekly-roundupSkill
The file
We split this CLAUDE.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 29
After editing scripts/build.js or anything under data/, regenerate with node scripts/prepare-publication.js — the canonical finisher — and …
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CLAUDE.md — AI Tool Watch
Agent guidance for working in this repo. See AGENTS.md for the canonical build-pipeline rules (this file supplements it, doesn't replace it).
Purpose
A plain-English, verified reference for AI tool capabilities, plan gates, and constraints — for humans and agents. Canonical URL: https://aitool.watch/. Covers 18 capabilities and ~87 implementations across hosted products at roughly 1% or greater market share: ChatGPT, Claude, Copilot, Gemini, Perplexity, Grok, and Meta AI. Self-hosted runtimes and the 11 open-model access records were frozen on 2026-10-11 (see data/archive/ and docs/archive.html).
Stack
- Zero dependencies. No framework, no database, no
package.json. - Plain Markdown + YAML data files under
data/. - A single Node.js script (
scripts/build.js) generates the entire static site (HTML, JSON API, bridge pages, sitemap) intodocs/. - Deployed to GitHub Pages via GitHub Actions on push to
mainand after each completed Verify Features run.
Directory layout
data/— canonical source of truth.platforms/(editorial source per product),capabilities/,providers/,products/,implementations/index.yml,evidence/index.json(generated, do not hand-edit),watchlist/,archive/.archive/holds frozen records:archive/products/,archive/providers/,archive/model-access/, and their source files inarchive/platforms/.build.jsloadArchiveData()renders them onarchive.htmland inapi/v1/archive.jsonandapi/v1/model-access.json; the active loaders, evidence sync, validators, and verification cascade do not read them. Don't edit archived records. Format documented indata/_schema.md(legacy/transitional) anddesign/SCHEMA_PROPOSAL.md(target ontology).docs/— generated output, not source. Every.html,docs/api/v1/*.json,docs/agents.json,docs/llms.txt,docs/sitemap.xml,docs/robots.txt,docs/index.xmlare produced byscripts/build.js. Direct edits are overwritten on next build.scripts/— zero-dependency Node tooling:prepare-publication.js(the canonical finisher — chains everything below and writesdocs/publication-manifest.json),build.js(site generator),sync-evidence.js,validate-ontology.js,validate-claims.js(talking-point prose vs structured fields),validate-structured-data.js(JSON-LD parse + shape check on generateddocs/),validate-publication.js(human/API/MCP coherence),verify-publication-manifest.js(artifact vs manifest),test-offline.js(the test runner CI uses),verify-features.js(multi-model cascade),check-links.js/check-links-browser.js,scan-secrets.js,mcp-server.js(read-only MCP server over generated JSON, config inmcp.json),generate-framing.js,build-skill-bundles.js,lib/(shared modules:cascade.js,link-engine.js,parser.js,consistency.js, etc.).skills/— canonical skill sources (skills/<name>/src/). Platform-local install folders (.claude/skills/,.perplexity/skills/) are never canonical and should not be committed. Seeskills/README.md.design/— architecture rationale, ontology docs, roadmap/status (design/ROADMAP.md), scope criteria (design/SCOPE.md), watchlist (design/WATCHLIST.md).tests/— Node test files (*.test.js) plusfixtures/; seetests/README.md.AGENTS.md— the authoritative agent-facing build-pipeline instructions;CONTRIBUTING.md— human contributor workflow;VERIFICATION.md— verification cascade documentation;SECURITY.md,SPONSORS.md,LICENSE.
Conventions
- Edit source, never generated output:
data/,scripts/,skills/src/, docs at repo root (README.md,AGENTS.md, etc.) are safe to hand-edit.docs/(the build output directory) is not, except where noted otherwise inAGENTS.md. - After editing
scripts/build.jsor anything underdata/, regenerate withnode scripts/prepare-publication.js— the canonical finisher — and commit source + regenerateddocs/together.node scripts/build.jsalone is not enough: it does not writedocs/publication-manifest.json, so the commit ships a stale manifest and fails CI. - Evidence links must be included or preserved when updating a platform record.
- Key
scripts/build.jslandmarks (perAGENTS.md):renderSharedFooter()(~line 1127),OrganizationJSON-LD blocks (search"@id": "https://snapsynapse.com/#organization"),agents.jsongenerator (~line 4602,maintainerfield ~4620),llms.txtgenerator (~line 4498). - MIT-licensed, stewarded by Snap Synapse LLC, authored by Sam Rogers. Not a PAICE.work dependency (removed 2026-09-22). Purpose, invariants, and the current review decision live in
INTENT.md.
Build / validate / test (from docs — do not execute without explicit instruction)
scripts/prepare-publication.js is the finisher. Any change to data/ or scripts/ ends with it:
node scripts/prepare-publication.js # Canonical: sync → validate → build → verify artifactIt chains sync-evidence.js → validate-ontology.js → validate-claims.js → build.js → validate-structured-data.js → validate-publication.js, then writes docs/publication-manifest.json and verifies the built artifact against it. build.js does not write that manifest; only prepare-publication.js does.
The individual commands below remain useful while developing and diagnosing a change, but none of them finishes a commit:
node scripts/build.js # Build the site into docs/ (no publication manifest)
node scripts/sync-evidence.js # Sync evidence records
node scripts/validate-ontology.js # Validate cross-record integrity
node scripts/validate-claims.js # Cross-check talking-point prose vs structured fields
node scripts/validate-structured-data.js # Parse/shape-check JSON-LD in docs/ (run after build.js)
node scripts/validate-publication.js # Human, API, and MCP publication coherence
node scripts/verify-features.js # Multi-model verification cascade (see VERIFICATION.md)
node scripts/check-links.js # Link integrity check
node scripts/scan-secrets.js # Secret scanTests live under tests/*.test.js. CI runs them via node scripts/test-offline.js; use the same command locally. Plain node --test tests/ does not work — it picks up tests/smoke-live.test.js, which requires live third-party network access. See tests/README.md and AGENTS.md.
If tests/publication-manifest.test.js fails with artifact hash mismatch for agents.json, the cause is almost always a stale docs/publication-manifest.json, not agents.json. scripts/verify-publication-manifest.js reports the first mismatching entry in sorted path order, so a manifest left behind by a bare build.js run surfaces under the alphabetically earliest generated file. Re-run node scripts/prepare-publication.js and commit the regenerated manifest.
CI (.github/workflows/): build.yml (build + deploy, push/PR to main, and after each completed Verify Features run), verify-features.yml (four-model cascade, Mon/Thu evening Pacific, 40 features per scheduled run; a schedule runs paid calls only when FRESHNESS_SCHEDULED_VERIFICATION=approved, and every paid run needs the FRESHNESS_MAX_* spend bounds; its staleness job opens the stale-features issue), check-links.yml (weekly, Saturdays), scan-secrets.yml (push/PR to main). deploy-ftp.yml and evidence-alerts.yml were retired 2026-10-11.
Current state (as of 2026-10-11)
Slimmed to maintenance on 2026-10-11: scope is hosted products at roughly 1% or greater share, and self-hosted runtimes plus open-model access are frozen in the archive. Owner decisions not yet executed: add Meta AI (DeepSeek's hosted chat is not added), and resume Monday/Thursday scheduled verification with the full cascade before any weekly campaigns; FRESHNESS_* spend bounds are not yet set. The year-end continue-or-retire review still stands. See INTENT.md "Status and review". Scheduled verification (Mon/Thu) now ends as blocked_unapproved unless paid runs are approved, so freshness depends on reviewed updates.
Per design/ROADMAP.md: the original five-phase roadmap is complete (ontology-backed data model, dual-view site, JSON API, 125 SEO bridge pages, MCP read layer, verification cascade). Repo is active — commits land almost daily via automated dashboard rebuilds and Checked/Verified date updates, plus occasional feature work (e.g. cascade signal-suppression fix).
Outstanding / open work (see design/ROADMAP.md for full detail):
- Tool Check (deferred) — interactive "can this AI do X?" experience; prerequisites met but not yet built.
- Category field cleanup — legacy
Categorytaxonomy on implementation records needs reduction/retirement in favor of capability-first filtering. - Evidence consolidation — evidence currently split between inline platform markdown and
data/evidence/index.json; goal is fully ontology-native evidence. - Structured data validation — no build-time validation of the JSON-LD on the 125 bridge pages yet.
- Bridge page measurement — SEO bridge pages live but not yet validated against Search Console data.
- Page optimizations — Lighthouse scores are 90+; room for near-perfect scores.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

