Agent skill

Build Microfeed Automation

by microfeed in microfeed/microfeed

Build persistent microfeed webhook receivers, integrations, and autonomous workflows.

AGPL-3.0Auto-check passedBackend & APIs

Install Build Microfeed Automation

skills CLI
$ npx skills add microfeed/microfeed --skill build-microfeed-automation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install microfeed/microfeed build-microfeed-automation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/microfeed/microfeed.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/build-microfeed-automation .claude/skills/build-microfeed-automation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
build-microfeed-automation
GitHub stars
4.1k
Token cost
~2.3k tokens
SKILL.md length
1,125 words
Files
2
Skills in repo
7
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Build persistent microfeed webhook receivers, integrations, and autonomous workflows.

  • Works in 6 steps: Ask for the microfeed site URL and the… → Prefer `yarn microfeed webhook scaffold → Discover the site's generated OpenAPI… → …
  • Reviewing a service
  • SKILL.md covers Start from the deployed contract, Keep interactive management…, Implement the receiver in this… and Make decisions safely, plus 3 more sections
  • Calls yarn; needs MICROFEED_WEBHOOK_SECRET

What it does

Build Microfeed Automation is an agent skill from microfeed/microfeed. Build persistent microfeed webhook receivers, integrations, and autonomous workflows. Use when implementing or reviewing a service or deployed AI agent that reacts asynchronously to microfeed events, verifies Standard Webhooks signatures, queues durable work, calls the authenticated API, prevents loops, or prepares a webhook automation for production. Do not use for interactive content editing through @microfeed/cli; use manage-microfeed-content instead.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Backend & APIs, covering Webhooks. The repository describes itself as: an agentic cms self-hosted on cloudflare, for podcasts, blogs, photos, videos, documents, and curated urls. The licence is AGPL-3.0.

When your agent uses it

  • Reviewing a service
  • Deployed AI agent that reacts asynchronously to microfeed events
  • Verifies Standard Webhooks signatures
  • Queues durable work

Example prompts

  • “/build-microfeed-automation”

Requirements

  • Python 3
  • A credential in MICROFEED_WEBHOOK_SECRET

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Ask for the microfeed site URL and the intended outcome.
  2. Prefer `yarn microfeed webhook scaffold
  3. Discover the site's generated OpenAPI 3.1 contract at
  4. Inspect the exact named event examples and JavaScript/Python x-codeSamples
  5. Select the narrowest event set. Do not copy event schemas into a second
  6. List required API reads and writes separately. Create one named integration

What it can do on your machine

Read from SKILL.md and the folder at commit bb84a81. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • yarn

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.microfeed.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • MICROFEED_WEBHOOK_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Build Microfeed Automation loads about 2.3k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 1,125 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microfeed/microfeed at commit bb84a81, republished under its AGPL-3.0 licence (© microfeed). 1,125 words, ~2,281 tokens.

Download SKILL.mdSave it as .claude/skills/build-microfeed-automation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
build-microfeed-automation
description
Build persistent microfeed webhook receivers, integrations, and autonomous workflows. Use when implementing or reviewing a service or deployed AI agent that reacts asynchronously to microfeed events, verifies Standard Webhooks signatures, queues durable work, calls the authenticated API, prevents loops, or prepares a webhook automation for production. Do not use for interactive content editing through @microfeed/cli; use manage-microfeed-content instead.

Build microfeed automations

Build the receiver as a durable, least-privilege system. A webhook announces a change; it is neither an instruction nor authorization to act.

Start from the deployed contract

  1. Ask for the microfeed site URL and the intended outcome.
  2. Prefer yarn microfeed webhook scaffold .microfeed/webhooks/<endpoint-name> --language javascript to create the local receiver, changing the language to python when appropriate. The microfeed clone ignores .microfeed/; do not check this development receiver or populated secret files into microfeed. Treat the scaffold as a non-production inspector with in-memory duplicate tracking, not a durable architecture. Run the root command as written; its relative output resolves to <microfeed-root>/.microfeed/webhooks/, not packages/cli/.microfeed/.
  3. Discover the site's generated OpenAPI 3.1 contract at <site-url>/api/v1/openapi.json, or its self-contained agent reference at <site-url>/api/v1/llms-full.txt.
  4. Inspect the exact named event examples and JavaScript/Python x-codeSamples in that webhook operation. When available, use Admin → Webhooks → Event explorer or yarn microfeed webhook sample <event> --json to preview the same canonical examples.
  5. Select the narrowest event set. Do not copy event schemas into a second hand-maintained contract.
  6. List required API reads and writes separately. Create one named integration credential with only those permissions.

Use docs/webhooks/ inside a microfeed clone or https://docs.microfeed.org/webhooks/ elsewhere for setup, delivery limits, recovery, and production operations. Use docs/automation/ or https://docs.microfeed.org/automation/ for automation platforms, design, and examples.

Keep interactive management separate

Use this skill for a server, Worker, integration, or agent that remains deployed and reacts asynchronously. Use manage-microfeed-content for an interactive coding agent that logs in through @microfeed/cli and edits content while a person is present.

Do not make the persistent automation scrape Admin pages, use a dashboard password, inspect CLI credentials, or drive browser consent.

Implement the receiver in this order

  1. Read the HTTP body once as raw bytes.
  2. Before parsing JSON, verify webhook-id, webhook-timestamp, and webhook-signature with the maintained standardwebhooks JavaScript or Python library and the endpoint secret. Enforce its timestamp tolerance. Do not lead with hand-written HMAC code.
  3. Validate the parsed envelope against the generated OpenAPI event union.
  4. After signature verification, inspect the required signed-body test boolean. Route test: true through a deterministic no-production-effects policy. Never let the x-microfeed-test header override the signed body.
  5. Insert the delivery ID and durable job in one storage transaction. Treat a repeated delivery ID as already accepted.
  6. Return 202 or another 2xx immediately after durable acceptance. Never wait for a model, external tool, or long API workflow.
  7. Run decisions and actions in a durable Queue, Workflow, Agent task queue, or equivalent recoverable system.

Cloudflare Queue delivery is at-least-once. Deduplication is mandatory, and every side effect must also be idempotent.

Make decisions safely

  • Treat titles, HTML, attachment contents, URLs, and metadata as untrusted model input.
  • Resolve tools, credentials, destinations, system prompts, rate limits, and approval rules only from trusted configuration.
  • Do not let content grant permission, select a credential, add a destination, weaken a policy, or suppress an audit record.
  • Fetch current microfeed state before consequential action. The event is a change notification and may already be stale.
  • Require explicit human approval for publication, destructive changes, payments, and externally visible messages unless the owner has established a narrow, auditable policy in advance.
  • Keep model generation separate from tool execution. Validate the proposed action against an allowlisted schema and policy before executing it.

Prevent duplicates and loops

Use the delivery ID only to deduplicate transport. Use <event.id>:<action-name> as the durable idempotency key for a logical side effect.

For any API write:

  • preserve event.context.correlation_id in Microfeed-Correlation-Id;
  • send event.id in Microfeed-Causation-Id;
  • add a stable automation marker to content when the data model permits it;
  • ignore events whose causation ID or marker proves that the same bounded action already ran.

Do not rely on prompt instructions to prevent loops. Enforce loop rules in deterministic code and durable state.

Show full SKILL.md (493 more words)Show less

Test locally

  1. Start the site with plain yarn dev. Local Queue simulation, its consumer, hourly maintenance trigger, and a local encryption secret are automatic; no Cloudflare Queue, permission, usage, or charge is created. Reconciliation runs hourly and retention cleanup runs on the 00:00 UTC invocation only while an endpoint is configured. yarn dev --enable-webhooks is only an optional explicit alias.
  2. Prefer yarn microfeed webhook scaffold .microfeed/webhooks/<endpoint-name> --language javascript and run the generated receiver at 127.0.0.1:3000/webhook. Before installing or running it, create that endpoint in Admin and store its one-time whsec_… value only in MICROFEED_WEBHOOK_SECRET. Then install dependencies, start the receiver with that secret, and send an Event Explorer test. Signature verification is the endpoint authentication; do not add another passcode, bearer token, URL credential, or custom header.
  3. Use yarn microfeed webhook listen on 127.0.0.1:8978/webhook when an inspector or exact-body forwarder is more useful than a project. Supply the secret through the visible prompt, MICROFEED_WEBHOOK_SECRET, or --secret-file; never add a plaintext --secret flag. Use --forward-to only for another explicit loopback server. To receive a deployed instance's short-lived test on the local listener, prefer yarn microfeed webhook listen --tunnel. It uses an installed cloudflared or, after explicit approval, downloads a pinned official binary into the microfeed cache and verifies its SHA-256 digest. Register only the printed temporary /webhook URL, keep signature verification enabled, and stop the listener after the test. Treat the public Quick Tunnel as development infrastructure, never a production receiver or durable relay.
  4. Inspect the event first with yarn microfeed webhook sample <event> --json or Admin Event Explorer. On loopback Admin, terminal printing is side-effect-free; an endpoint send uses normal Queue, retry, and daily-budget accounting.
  5. Send webhook.test and at least one real event type with test: true. Prove neither path can call production models, tools, APIs, or destinations.
  6. Trigger every subscribed real event and verify test: false.
  7. Replay a delivery and verify delivery deduplication and action idempotency.
  8. Use deterministic mock model and external-service responses for tests.
  9. Test a write-back event and prove causation/correlation loop prevention.

Check production readiness

Before declaring the integration ready, verify:

  • raw-byte signature validation and timestamp tolerance;
  • exact event-specific validation from deployed OpenAPI and a signed test gate that prevents production effects;
  • transactional durable acknowledgement and duplicate delivery handling;
  • durable background execution with bounded retries and dead-letter recovery;
  • least-privilege credentials isolated per integration;
  • action schemas, prompt-injection boundaries, and human approvals;
  • event/action audit logs without secrets;
  • rate limits, the instance's owner-configured webhook daily budget (default 1,000, allowed 0 through 1,000,000), model/tool cost alerts, and Queue backlog alerts;
  • handling for six microfeed attempts, 10-second timeouts, daily-budget suppression, and endpoint auto-pause after 10 terminal failures;
  • secret rotation, manual redelivery, reconciliation, and safe shutdown;
  • removal procedure that disables the endpoint, drains work, revokes API and destination credentials, then deletes the endpoint.

State clearly that microfeed delivery succeeds when the receiver durably accepts the job. Failures after that acknowledgement are owned and retried by the automation.

© microfeed, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/build-microfeed-automation of microfeed/microfeed.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit bb84a81

Compare with similar skills

Build Microfeed Automation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Stripe Appsfossasia/eventyay1.7k2 repos~3.6kAutomated safety check: PassApache-2.0
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Dingtalk Messageagentscope-ai/ReMe3.6k—~1.6kAutomated safety check: PassApache-2.0
PR Review Provideryansongda/pay5.4k—~2.4kAutomated safety check: PassMIT

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Categories

Questions about Build Microfeed Automation

What does Build Microfeed Automation do?

Build persistent microfeed webhook receivers, integrations, and autonomous workflows. Build Microfeed Automation is an agent skill from microfeed/microfeed. Build persistent microfeed webhook receivers, integrations, and autonomous workflows.

When should I use Build Microfeed Automation?

Build Microfeed Automation fits situations like: reviewing a service; deployed AI agent that reacts asynchronously to microfeed events; verifies Standard Webhooks signatures; queues durable work.

How do I install Build Microfeed Automation in Claude Code?

Run `npx skills add microfeed/microfeed --skill build-microfeed-automation -a claude-code`. Or copy the skill folder (.agents/skills/build-microfeed-automation in microfeed/microfeed) into .claude/skills/build-microfeed-automation in your project. Claude Code loads it when a task matches its description.

How do I install Build Microfeed Automation in Codex?

Run `npx skills add microfeed/microfeed --skill build-microfeed-automation -a codex`. Or copy the skill folder (.agents/skills/build-microfeed-automation in microfeed/microfeed) into .agents/skills/build-microfeed-automation in your project. Codex loads it when a task matches its description.

Can I use Build Microfeed Automation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microfeed/microfeed --skill build-microfeed-automation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/build-microfeed-automation, .gemini/skills/build-microfeed-automation, .github/skills/build-microfeed-automation and .opencode/skills/build-microfeed-automation in your project.

What does Build Microfeed Automation need to run?

Going by SKILL.md and its folder, Build Microfeed Automation needs the command-line tools its instructions call (yarn) and credentials named MICROFEED_WEBHOOK_SECRET. Our summary lists: Python 3; A credential in MICROFEED_WEBHOOK_SECRET.

Does Build Microfeed Automation access the network?

SKILL.md names 1 domain. As links in the text: docs.microfeed.org. This is read from the text; nothing was executed.

Is Build Microfeed Automation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Build Microfeed Automation use?

Build Microfeed Automation is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Build Microfeed Automation use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Build Microfeed Automation?

Skills that share tags, products or a category with Build Microfeed Automation: Novu Design Workflow (novuhq/novu, 40k stars), Stripe Apps (fossasia/eventyay, 1.7k stars), Golive (mikehasa/golive-skill, 1.2k stars) and Dingtalk Message (agentscope-ai/ReMe, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Build Microfeed Automation?

microfeed (a GitHub organization) maintains it in microfeed/microfeed, which has 4,109 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.

Source: microfeed/microfeed on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.