open-agent-guide

Use when an agent needs to read or contribute to the Open Agent Guide public catalog of AI-native organizations, products, models, MCP servers, agent skills, and integrations. Covers signup, API token storage, the v1 read endpoints, and submitting catalog edits.

twschiller@twschiller

Install

openclaw skills install @twschiller/open-agent-guide

Open Agent Guide

Use this skill when an agent needs to read or contribute to the public Open Agent Guide catalog of AI-native organizations, products, models, MCP servers, agent skills, and integrations.

When to use this skill

Triggers:

"find products that support MCP / A2A / headless signup"
"what compliance certifications does {product} publish?"
"look up {organization} in the catalog"
"submit an edit to a product's trust center URL"
"propose a new MCP server / API spec / developer kit"

NOT for:

scraping vendor websites directly — use the catalog as the source of truth
managing your local OpenClaw skill library (that is the clawhub CLI)
private/internal inventories — this is a public catalog, MIT-0 data

Configuration

Env var	Required	Default	Purpose
`OAG_TOKEN`	only for authenticated endpoints	—	Bearer token, prefix `oag_`
`OAG_BASE_URL`	no	`https://www.openagentguide.com`	Override for staging / self-hosting

Read examples and batch scripts use https://www.openagentguide.com by default. Set OAG_BASE_URL only when targeting a staging or self-hosted instance.

Quick start (no auth)

Catalog reads are anonymous-capable. The OpenAPI spec is the source of truth for the live API shape — fetch it first whenever you are unsure:

bash

: "${OAG_BASE_URL:=https://www.openagentguide.com}"
curl -fsSL "$OAG_BASE_URL/api/v1/openapi.json" \
  | jq '.paths | keys[]' | head

Then a real read:

bash

curl -fsSL "$OAG_BASE_URL/api/v1/catalog/products/" \
  | jq '.results[] | {id, name, slug}'

Get a token (one-time setup)

Authenticated endpoints — your own profile, products you use, and submissions — need an API token. Sign up and receive your first token in one call:

bash

curl -fsSL -X POST "$OAG_BASE_URL/api/v1/users/signup/" \
  -H "Content-Type: application/json" \
  -d '{
    "username": "your-handle",
    "email": "you@example.com",
    "password": "<strong-password>",
    "name": "Your Name",
    "account_type": "individual",
    "token_name": "first-token"
  }' | tee /tmp/oag-signup.json | jq '.api_token | {id, bearer_token, authorization_header}'

The response carries:

api_token.bearer_token — the raw oag_… value, shown once
api_token.authorization_header — preformatted Bearer oag_…, drop it straight into -H "Authorization: ..." for your first call
next_steps — links the API itself advertises (current user, submission targets, submission fields, create submission, docs)

Signup is rate-limited to 10 per hour per IP. If you hit 429, read the Retry-After header before retrying.

Remember the token

The skill expects $OAG_TOKEN in the environment. Pick one storage layout and stick to it:

Environment	Recommended storage
Local shell	`~/.config/open-agent-guide/env` (chmod 600), sourced from your shell rc
macOS keychain	`security add-generic-password -a "$USER" -s oag-token -w "<bearer>"`; read with `security find-generic-password -a "$USER" -s oag-token -w`
Linux secret store	`secret-tool store --label "OAG" service oag user "$USER"`; read with `secret-tool lookup service oag user "$USER"`
OpenClaw agent	Declared above as `metadata.openclaw.primaryEnv: OAG_TOKEN`; OpenClaw resolves it from its secret store at activation time
CI	Repository secret `OAG_TOKEN`; reference via `${{ secrets.OAG_TOKEN }}`

Hard rules:

Never paste the token into source files, prompts, transcripts, or chat history.
Never commit .env* files that contain it.
Rotate immediately if a token leaks (see "Rotating and revoking" below).

Making authenticated calls

bash

curl -fsSL "$OAG_BASE_URL/api/v1/users/me/" \
  -H "Authorization: Bearer ${OAG_TOKEN}"

The authorization_header field returned at signup is already in this shape — use it verbatim during the first session.

Rotating and revoking

List your tokens, then rotate or revoke by id:

bash

# List
curl -fsSL "$OAG_BASE_URL/api/v1/users/me/tokens/" \
  -H "Authorization: Bearer ${OAG_TOKEN}" | jq

# Rotate (returns a NEW bearer_token; the old value stops working immediately)
curl -fsSL -X POST "$OAG_BASE_URL/api/v1/users/me/tokens/<token-id>/rotate/" \
  -H "Authorization: Bearer ${OAG_TOKEN}" | jq '.bearer_token'

# Revoke
curl -fsSL -X DELETE "$OAG_BASE_URL/api/v1/users/me/tokens/<token-id>/" \
  -H "Authorization: Bearer ${OAG_TOKEN}"

See references/onboarding.md for the full token lifecycle, including issuing additional named tokens for separate workloads.

Common workflows

Search the catalog

bash

curl -fsSL "$OAG_BASE_URL/api/v1/catalog/products/?search=mcp&page_size=25" \
  | jq '.results[] | {slug, name, organization: .organization.slug}'

Pull a single product with related data

bash

curl -fsSL "$OAG_BASE_URL/api/v1/catalog/products/<product-id>/" | jq

Propose an edit to a catalog record

Use POST /api/v1/submissions/. Submissions are reviewed before being merged into the public catalog. Keep the payload minimal — only fields that change:

bash

curl -fsSL -X POST "$OAG_BASE_URL/api/v1/submissions/" \
  -H "Authorization: Bearer ${OAG_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "app_label": "catalog",
    "model": "product",
    "object_id": "<product-uuid>",
    "description": "Evidence: https://vendor.example/trust — the trust center lists SOC 2 and enforced MFA.",
    "payload": { "trust_center_url": "https://vendor.example/trust" }
  }' | jq

Before drafting, fetch the writable field shape:

bash

curl -fsSL "$OAG_BASE_URL/api/v1/submissions/fields/?app_label=catalog&model=product&view=summary" \
  -H "Authorization: Bearer ${OAG_TOKEN}" | jq

Only emit a field you can cite — leave the rest unset

Every claim in the payload is held to a citation bar: the review that gates the merge rejects the whole submission if a payload field asserts something no cited source states. So a field you cannot back is not "missing data" you should fill with your best guess — it is a claim you should omit. Represent genuine uncertainty by leaving the field unset (unknown), not by inventing a value.

This bites hardest on asserted-negative booleans — open_source=false and self_hostable=false. Almost no vendor publishes a source stating a product is not open source or not self-hostable, so for a closed-source commercial SaaS these flags are structurally uncitable. Emitting them as false therefore gets the entire submission rejected for those two fields alone, even when every other claim is cited. Do not emit open_source / self_hostable (or any boolean) as false unless a source explicitly states the negative — leave the field unset.

Leaving them unset costs nothing you had: the AI-native score awards a portability point for either flag only when it is true (see catalog/scoring.py), so an uncitable false scores identically to unset while blocking the merge. Unset simply caps the top score the record can reach until a citable source appears; false you cannot cite fails the whole proposal.

Keep provenance out of `description` — no "verified on `<date>`" line

The fact-check reads description as claim-bearing text. A first-person line about the act of verifying — "Verified 2026-09-04 against the vendor's own pages.", "Confirmed on the trust center on …" — is extracted as the claim "the submission was verified on <date>", which no vendor page can cite, so it comes back insufficient_evidence and rejects the whole submission on its own. Write description as evidence URLs plus a neutral summary of what changed — never a datable claim about having checked. (Same failure shape as the asserted-negative booleans above.)

Emit a `*_url` field only when that URL is among your cited sources

The fact-check turns terms_of_service_url / privacy_policy_url / trust_center_url / status_page_url into a claim of the form "X's ToS URL is <url>" and looks for a page that states it. A real, reachable URL that no cited page names comes back insufficient_evidence; worse, a URL that fails to fetch (e.g. a canonical privacy URL that redirects into a bot-gated app) escalates to unsupported and fails the submission. Reachability is already covered by the separate urls check, so this is double jeopardy against a citation that often can't exist. Prefer URLs a page self-corroborates (the privacy page whose own text says "Privacy Policy"), and expect some to bounce: be ready to drop terms_of_service_url / status_page_url / a bot-gated privacy_policy_url and resubmit without it.

Cite each compliance cert — and each RBAC / MFA association — to the plainest static page that names it

A compliance-cert claim survives only if the crawler renders the cited page's text and that text literally names the cert. A SafeBase-style trust center (e.g. security.vendor.com) that lists "SOC 2 Type 2", "ISO 27001", "PCI-DSS" as plain HTML fact-checks cleanly; a JS-heavy docs page whose cert list is in the rendered DOM but not the fetched HTML does not. Cite the most static trust page that spells the cert out, and confirm the cert string is in the fetched HTML, not just the rendered page.

The same rule applies to access_controls (RBAC) and mfa_types: each is a world-claim held to the citation bar exactly like a cert, and each is page-render-dependent in exactly the same way (supported off a plainly-listed security page, unsupported off a JS-heavy one). Cite them to the plainest static page that literally names the control ("role-based access control", "passkeys", "TOTP"), not a marketing overview whose text renders client-side.

Populate `api_specs` freely — identity is reachability-checked, not fact-checked

An api_specs entry's identity — name, slug, spec_type, and the spec url — is record structure, not a fact-checked world-claim. The spec url returns a self-describing OpenAPI document that the urls reachability check already fetches, so its identity is verified there rather than by a claim a vendor page must corroborate. Almost no vendor page states "product X documents an OpenAPI spec named Y at Z" in a citeable form, so holding it to the citation bar used to sink otherwise-clean submissions — that is now scoped out. Add an api_specs entry whenever the vendor publishes a spec; just make sure the spec url resolves (a reachable 200 OpenAPI document, or a protected status), the same bar the urls check applies to any URL.

Populate MCP servers freely

An MCP server in the payload round-trips cleanly end to end. The endpoint passes the urls reachability check even when it answers a bare GET with 401 / 403 / 405 / 429 (the "protected" set is treated as reachable), and the fact-check synthesizes "operates an MCP server at <endpoint>" / "documents its MCP server at <docs>" as supported when you cite the docs page. Add MCP servers whenever the vendor documents one.

Break pricing into one offer per plan

When a product publishes named pricing plans/tiers — the typical Free / Starter / Standard / Professional / Enterprise ladder — model each plan as its own Offer. Do not collapse the whole pricing page into one offer, and do not treat the product's pricing_url as a substitute for offers: a single "Paid" offer whose price_description concatenates several plans' prices loses the per-plan structure the catalog is meant to expose.

Offers ride in through the offers reverse-FK create envelope — nested under a product create, or as an update on an existing product that adds {"offers": {"create": [ … ]}}. Per offer:

name — the plan's public name ("Starter", "Standard", "Professional", "Enterprise"). Together with slug (unique per product, e.g. "starter") this is a synthetic identifier, not a world-claim — you choose it, so it is exempt from the citation bar.
price + price_currency + price_period — set these structured fields when the plan maps to a single recurring amount (price_period is one of one_time | monthly | yearly | usage_based | custom; price_currency is required whenever price is set). The price itself is a world-claim — cite the pricing page that states it, exactly like any other affordance.
price_description — use this instead of a structured price for free, "Starting from …", quoted, usage-based, or "Contact sales" / "Talk to sales" plans (a typical Enterprise tier). One human-readable line; do not enumerate other plans' prices here.

A monthly/yearly toggle is not two offers unless the vendor genuinely sells them as distinct plans — pick the period you are citing (usually monthly list price) and note the annual-discount nuance in price_description rather than inventing a second offer.

jsonc

"offers": {
  "create": [
    { "name": "Free", "slug": "free", "price_description": "Free plan for individuals." },
    { "name": "Starter", "slug": "starter", "price": "9.00", "price_currency": "USD", "price_period": "monthly" },
    { "name": "Enterprise", "slug": "enterprise", "price_description": "Custom pricing — contact sales." }
  ]
}

After you submit: immutable, tracked, resubmit on rejection

You are the submitter. Once you POST a submission there is no way to edit it — a submission is immutable by design. Track its outcome by polling its status; it moves from open to one of two terminal states:

merged — a curator published it to the catalog. Done.
closed — it was rejected. Read resolution.closed.reason for why, then submit a new, corrected submission (there is nothing to "fix" on the old one). Two things close a submission:
- The system auto-rejects it when a required check fails — most often fact_check on an uncitable claim, but also spam, urls, etc. The close_reason names the failed check; resolution.closed.user is review-agent. This is automatic and immediate — do not wait for a human. Fix the cited deficiency and resubmit.
- A curator closes it on content grounds (thin citations, an uncited field, a duplicate, a merge conflict). Same recovery: read the reason, resubmit.

bash

curl -fsSL "$OAG_BASE_URL/api/v1/submissions/<submission-uuid>/" \
  -H "Authorization: Bearer ${OAG_TOKEN}" \
  | jq '{status, reason: .resolution.closed.reason, by: .resolution.closed.user}'

A check that errored (a transient fault, e.g. an LLM timeout) is not a rejection: the submission stays open and the operator retries the check. You do not need to resubmit for an errored check — only for a closed one.

Verdicts are nondeterministic. The same payload can pass one run and bounce the next — a cert cited to the same page comes back supported once and unsupported the next time. On a closed you believe is a false reject, just resubmit the same payload; it often clears on a second pass before you start stripping fields.

Unwedging a slug held open by a review-side stall. This applies to a create submission (a new record claiming a slug), not an update. If the review agent itself errors (a timeout, not a check failure), the create can sit open with no decision — un-mergeable and un-closeable. A fresh create for the same slug then returns 409 open_submission_conflict, because the wedged original still holds it. force only relaxes this open-create-conflict; it does not bypass a conflict with an already-merged catalog object. Supersede the wedged create by re-posting it with "force": true:

bash

curl -fsSL -X POST "$OAG_BASE_URL/api/v1/submissions/" \
  -H "Authorization: Bearer ${OAG_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{ "app_label": "catalog", "model": "product", "submission_kind": "create",
        "force": true, "description": "…",
        "payload": { "slug": "<wedged-slug>", … } }' | jq

Seeding several records at once (batch)

Adding one organization with nested products, categories, compliance certifications, and MCP servers is more than the single-record curl calls above cover. references/batch-populating.md documents the nested payload envelope and ships three copy-paste scripts — oag-validate-batch.sh (dry-run), oag-submit-batch.sh (paced create), and oag-watch.sh (poll to terminal, render checks/reviews/resolution) — plus a starter batch template. They pace automatically under the mutation rate limit, which a hand-rolled loop trips.

MCP server (read-only)

If your agent host speaks MCP, you can add Open Agent Guide as a read-only MCP server instead of calling the catalog endpoints with curl. It is a thin wrapper over the same read API — same data, same auth.

Endpoint: $OAG_BASE_URL/mcp (Streamable HTTP, session-less — each call is independent; no session persistence or server push)
Auth: the same oag_ bearer token, sent as Authorization: Bearer <token> by the MCP client. Anonymous reads also work; authenticate for identified usage.
Tools: search_products (filter by category, job_to_be_done, capability, organization slugs), get_product (includes the AI-native affordance score and tier), list_categories, list_jobs_to_be_done, list_capabilities.

There are no MCP write tools: submissions, reviews, and account management stay on the HTTP endpoints above.

Pagination

Cursor-based:

json

{ "next": "<cursor or null>", "previous": "<cursor or null>", "page_size_default": 20, "page_size_max": 100, "results": [ … ] }

Follow next until it is null. Do not infer page numbers from cursor values. List endpoints default to page_size=20 (max 100); the response echoes those limits in page_size_default / page_size_max.

Loading reference/vocabulary tables without hitting the rate limit

To attach existing reference objects to a submission — compliance certifications, licenses, MFA types, billing/payment methods, programming languages — you sometimes enumerate the whole table to find the value you need. Authenticated reads are capped at 120 / minute / token, so a naive full enumeration can hit 429. Keep it cheap:

Prefer natural keys — usually you can skip enumeration entirely. Reference and taxonomy add/remove entries and scalar foreign keys accept the object's slug directly, not just its UUID. Draft straight from the slugs you already hold (from seed data or a read-API response) instead of pre-building slug→UUID maps. Confirm what a field accepts with /api/v1/submissions/fields/?app_label=<app>&model=<model>.
When you do enumerate, request the max page size. Append ?page_size=100 so a large table costs ⌈rows / 100⌉ requests instead of ⌈rows / 20⌉. The licenses vocabulary alone is ~730 rows — ~8 requests at 100/page versus ~37 at the default 20.
Cache each vocabulary once per run. These tables are small and change rarely (server cache lifetime is 1 h). Fetch each list once, build the slug→id map in memory, and reuse it across every submission in the batch. Re-fetching per submission is the usual reason a batch populator trips the read limit.
Back off on 429. Read Retry-After and wait before retrying; do not tight-loop.

Errors

There are three error shapes — check which one you got before parsing:

Coded errors (401, 403, 404, 429) — auth, permission, missing resource, throttle:
json
```
{ "code": "RATE_LIMITED", "detail": "Too many requests." }
```
Common codes: AUTHENTICATION_FAILED, INVALID_PARAMETER, MISSING_REQUIRED_FIELD, RATE_LIMITED. 401 means the token is missing, wrong, or revoked — re-read it from your secret store before re-issuing.
Validation failures (400) — a payload field the proposal validator rejects, the most common failure when submitting. The offending field paths are keyed under errors, not detail:
json
```
{ "errors": { "payload.trust_center_url": ["Enter a valid URL."] } }
```
Read .errors to see which field failed and why. (A malformed request body rejected by the schema before the domain validator runs is different: that is Django Ninja's default 422 with the error list nested inside detail — { "detail": [ { "type", "loc", "msg" }, … ] }, no top-level errors key.)
Conflicts (409) — a create that collides with an existing open submission or an already-cataloged object; conflict_type distinguishes the two (open_submission_conflict vs existing_object_conflict). Its own shape carries code + detail (like a coded error) plus conflict_type, slug, existing_submission_id or existing_object_id (whichever applies), and links. See "Unwedging a slug held open by a review-side stall" above.

Rate limits

Surface	Limit
Anonymous catalog reads	25 / minute / IP
Authenticated reads	120 / minute / token
Submission mutations	20 / minute + 5 / second burst
Signup	10 / hour / IP

Beyond the per-minute throttles, POST /submissions/ also enforces a cap of 25 open submissions per account — it returns 429 once you hold that many awaiting review, until some merge or close. Trusted populator accounts (the submissions.bulk_submit_catalogsubmission permission / "Bulk submitters" group) are exempt; that is the intended path for seeding a large batch.

Only the signup 429 currently carries Retry-After and the X-RateLimit-Limit / X-RateLimit-Remaining / X-RateLimit-Reset headers — honor Retry-After when it is present. The other throttles return a bare 429 { "code": "RATE_LIMITED", "detail": … } with no headers, so back off a few seconds and retry.

references/onboarding.md — signup payload schema, managing multiple named tokens, callback URLs, rotation cookbook.
references/api-reference.md — endpoint catalog organized by area (catalog, users, submissions).
references/batch-populating.md — nested org+product payload envelope and the batch validate/submit/watch scripts.
Live OpenAPI: GET $OAG_BASE_URL/api/v1/openapi.json
Live docs UI: $OAG_BASE_URL/api/v1/docs/
Homepage: https://www.openagentguide.com

open-agent-guide

Install

Open Agent Guide

When to use this skill

Configuration

Quick start (no auth)

Get a token (one-time setup)

Remember the token

Making authenticated calls

Rotating and revoking

Common workflows

Search the catalog

Pull a single product with related data

Propose an edit to a catalog record

Only emit a field you can cite — leave the rest unset

Keep provenance out of description — no "verified on <date>" line

Emit a *_url field only when that URL is among your cited sources

Cite each compliance cert — and each RBAC / MFA association — to the plainest static page that names it

Populate api_specs freely — identity is reachability-checked, not fact-checked

Populate MCP servers freely

Break pricing into one offer per plan

After you submit: immutable, tracked, resubmit on rejection

Seeding several records at once (batch)

MCP server (read-only)

Pagination

Loading reference/vocabulary tables without hitting the rate limit

Errors

Rate limits

More

Keep provenance out of `description` — no "verified on `<date>`" line

Emit a `*_url` field only when that URL is among your cited sources

Populate `api_specs` freely — identity is reachability-checked, not fact-checked