Agent skill

Agentify

Beta — Deploy the autonomous-repo feedback loop into a GitHub repo.

Apache-2.0Auto-check passedBackend & APIs

Install Agentify

skills CLI

$ npx skills add tokencanopy/e2a --skill agentify -a claude-code

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

GitHub CLI

$ gh skill install tokencanopy/e2a agentify --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/tokencanopy/e2a.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/e2a-labs/skills/agentify .claude/skills/agentify && 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/

Paste into Claude Code

Install the "agentify" agent skill from https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify into .claude/skills/agentify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentify", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add tokencanopy/e2a --skill agentify -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install tokencanopy/e2a agentify --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tokencanopy/e2a.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/e2a-labs/skills/agentify .agents/skills/agentify && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "agentify" agent skill from https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify into .agents/skills/agentify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentify", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add tokencanopy/e2a --skill agentify -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install tokencanopy/e2a agentify --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tokencanopy/e2a.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/e2a-labs/skills/agentify .cursor/skills/agentify && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "agentify" agent skill from https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify into .cursor/skills/agentify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentify", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/tokencanopy/e2a.git --path plugins/e2a-labs/skills/agentify

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add tokencanopy/e2a --skill agentify -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install tokencanopy/e2a agentify --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tokencanopy/e2a.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/e2a-labs/skills/agentify .gemini/skills/agentify && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "agentify" agent skill from https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify into .gemini/skills/agentify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentify", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install tokencanopy/e2a agentify

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add tokencanopy/e2a --skill agentify -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/tokencanopy/e2a.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/e2a-labs/skills/agentify .github/skills/agentify && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "agentify" agent skill from https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify into .github/skills/agentify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentify", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add tokencanopy/e2a --skill agentify -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install tokencanopy/e2a agentify --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tokencanopy/e2a.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/e2a-labs/skills/agentify .opencode/skills/agentify && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "agentify" agent skill from https://github.com/tokencanopy/e2a/tree/main/plugins/e2a-labs/skills/agentify into .opencode/skills/agentify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentify", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: agentify
GitHub stars: 192
Token cost: ~1.4k tokens
SKILL.md length: 602 words
Files: 69 (incl. references)
Skills in repo: 8
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Beta — Deploy the autonomous-repo feedback loop into a GitHub repo.

Works in 6 steps: Detect. Read the target repo: its… → Configure. Ask the adopter the config… → Render. Run… → …
Someone wants to make a repo self-managing / agentify it / install the feedback loop
SKILL.md covers What gets scaffolded into the…, Deploy procedure, After merge + setup and References
Runs Shell and JavaScript scripts from its folder; needs CLAUDE_CODE_OAUTH_TOKEN and ANTHROPIC_API_KEY

What it does

Agentify is an agent skill from tokencanopy/e2a. Beta — Deploy the autonomous-repo feedback loop into a GitHub repo. Scaffolds the lane workflows, the runtime skill, and one config file as a reviewed PR, then prints the one-time identity/secret setup checklist. Turns a repo into one that triages incoming feedback into issues and prepares human-gated fix PRs. Use when someone wants to make a repo self-managing / "agentify" it / install the feedback loop.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 75 other files, including reference files (for example `agentify-render.sh`, `examples/e2a/agentify-fix-verify-setup.sh` and `examples/e2a/autonomous-repo.config.yml`).

It sits in Backend & APIs, covering Project scaffolding and Transactional email. It works with GitHub. The repository describes itself as: Open-source email API for applications and AI agents. Managed hosting at e2a.dev, or self-host with Docker. The licence is Apache-2.0.

When your agent uses it

Someone wants to make a repo self-managing / agentify it / install the feedback loop
Tasks that involve Project scaffolding
Tasks that involve Transactional email

Example prompts

“agentify”
“/agentify”

Requirements

Node.js
A Bash shell
A credential in CLAUDE_CODE_OAUTH_TOKEN
A credential in ANTHROPIC_API_KEY

Workflow steps

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

Detect. Read the target repo: its OWNER/REPO, primary language,
Configure. Ask the adopter the config values and export them as the
Render. Run "$AGENTIFY_DIR/agentify-render.sh" --to . It fills
Auto-do the safe parts. Create the labels from labels.* via gh
Hand off the rest (print, don't do — see references/setup-checklist.md)
Open the install as a PR. Branch, commit the scaffolded files, open a

What it can do on your machine

Read from SKILL.md and the folder at commit 776fe2c. 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
Ships script files (Shell and JavaScript, from the files we listed), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- CLAUDE_CODE_OAUTH_TOKEN
- ANTHROPIC_API_KEY
- E2A_API_KEY
- AUTOREPO_APP_PRIVATE_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentify loads about 1.4k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 602 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~104
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.3k

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 tokencanopy/e2a at commit 776fe2c, republished under its Apache-2.0 licence (© tokencanopy). 602 words, ~1,392 tokens.

Download SKILL.mdSave it as .claude/skills/agentify/SKILL.md (or your agent's skills folder). This skill also uses 68 other files; get the full folder from GitHub.

name: agentify
description: Beta — Deploy the autonomous-repo feedback loop into a GitHub repo. Scaffolds the lane workflows, the runtime skill, and one config file as a reviewed PR, then prints the one-time identity/secret setup checklist. Turns a repo into one that triages incoming feedback into issues and prepares human-gated fix PRs. Use when someone wants to make a repo self-managing / "agentify" it / install the feedback loop.

agentify — deploy the autonomous-repo feedback loop

Beta. This skill is under active development; the setup flow may change and a lower-friction "express" onboarding is being explored.

/agentify installs the framework into a target repo: feedback in → triaged GitHub issue → human-gated fix PR → filer notified. It bundles the framework as templates, so installing this plugin is grabbing the framework. The install lands as a PR the repo owner reviews and merges — the install itself goes through the same human gate the framework runs on.

Where the tooling lives. The scaffolder and templates ship in this skill's own directory, next to this SKILL.md — agentify-render.sh, templates/, references/. Substitute that absolute path for $AGENTIFY_DIR below; the scaffolder resolves its own resources, so any working directory works.

v0 scope. The full loop ships: triage/intake (email → triaged issue), comms (filer acks + the fix-gate approval email + verified-reply routing), fix + release (the coding agent's human-reviewed PR + the merge→shipped callback), and this deploy flow. The mechanical render is automated (agentify-render.sh, with a _selftest); the Q&A and the one-time identity/secret setup stay guided. An update mode (re-render preserving the adopter's config tweaks) is the natural follow-on — the render is already idempotent.

What gets scaffolded into the target repo

from `$AGENTIFY_DIR/templates/`	to the target repo
`autonomous-repo.config.yml.tmpl`	`autonomous-repo.config.yml` (the only file the adopter owns)
`runtime-skill/**`	`.claude/skills/autonomous-repo/**`
`scripts/*.sh` (`ticket_card.sh`, `comms_send.sh`, `released_markers.sh`)	`scripts/*.sh`
`workflows/*.yml.tmpl`	`.github/workflows/*.yml`

Deploy procedure

Detect. Read the target repo: its OWNER/REPO, primary language, test command, and CI — used to fill the fix-lane verify_setup_script and sensible defaults.
Configure. Ask the adopter the config values and export them as the ANS_* env vars agentify-render.sh reads: ANS_PRODUCT_NAME, ANS_OWNER, ANS_REPO, ANS_MARKER, ANS_REVIEWER_LOGIN, ANS_BOT_LOGIN, ANS_SUPPORT_ADDRESS, ANS_FIX_GATE_MODE (hitl recommended), ANS_APPROVER_ADDRESS, ANS_VERIFY_SETUP_SCRIPT. (The bot login can be filled later from the checklist; secrets are never gathered here.)
Render. Run "$AGENTIFY_DIR/agentify-render.sh" --to <target-repo-root>. It fills autonomous-repo.config.yml from the ANS_* answers (failing loudly on any unfilled placeholder) and scaffolds the runtime skill, the scripts, and the four workflows into their real paths (.claude/skills/autonomous-repo/, scripts/, .github/workflows/*.yml). Re-running updates the scaffolded code but PRESERVES an existing autonomous-repo.config.yml (your tuned always_hitl, the filled bot_login) — pass --force only to regenerate the config. Then tune the rendered config's always_hitl list for the product's sensitive surfaces, and sanity-check: scripts/*.sh _selftest all green and the config parses. Optional addons ($AGENTIFY_DIR/templates/addons/) — e.g. submit-feedback-mcp (a submit_feedback MCP tool that email-bridges into the support mailbox) — are opted in via ANS_ADDONS="<name> ..."; the render scaffolds each to tools/<name>/ and appends its setup to AGENTIFY-ADDON-SETUP.md. Addons are additive; the loop runs without them.
Auto-do the safe parts. Create the labels from labels.* via gh (feedback, agent-fix, wontfix, feedback-ops, the status:* set).
Hand off the rest (print, don't do — see references/setup-checklist.md): create the GitHub App (bot identity) and set github_app_login in config; create the e2a support@ agent + an agent-scoped API key; add the repo secrets (CLAUDE_CODE_OAUTH_TOKEN or ANTHROPIC_API_KEY, E2A_API_KEY, AUTOREPO_APP_ID, AUTOREPO_APP_PRIVATE_KEY); enable Actions; set branch protection so the fix lane's PRs require review. Hand over the exact commands/links — never run the auth yourself.
Open the install as a PR. Branch, commit the scaffolded files, open a PR titled "agentify: install the autonomous-repo feedback loop" that summarizes what each file does and links the setup checklist. Do not merge.

Show full SKILL.md (72 more words)Show less

After merge + setup

The lanes activate themselves: each no-ops loudly until its secrets exist, then starts on the next cron tick. Flip the AUTOREPO_LANES_PAUSED repo variable to pause everything. Run the loop interactively any time with the autonomous-repo skill ("drain the triage queue").

References

(all under $AGENTIFY_DIR/references/)

setup-checklist.md — the one-time identity/secret setup.
adapters.md — the TicketStore / CommsChannel / Intake adapter contracts and which are implemented.
security-invariants.md — the defaults an adopter must not misconfigure away.

Files

SKILL.md and 68 other files (references) in plugins/e2a-labs/skills/agentify of tokencanopy/e2a.

SKILL.md
agentify-render.sh
examples/e2a/agentify-fix-verify-setup.sh
examples/e2a/autonomous-repo.config.yml
references/adapters.md
references/security-invariants.md
references/setup-checklist.md
safe-paths.sh
templates/addons/README.md
templates/addons/submit-feedback-mcp/files/bridge.mjs
templates/addons/submit-feedback-mcp/files/bridge.test.mjs
templates/addons/submit-feedback-mcp/files/package.json
templates/addons/submit-feedback-mcp/files/server.mjs
templates/addons/submit-feedback-mcp/manifest.yml
… and 55 more

Open the folder on GitHubat commit 776fe2c

Compare with similar skills

Agentify 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.

Agentify compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Agentify this skilltokencanopy/e2a	192	—	~1.4k	Automated safety check: Pass	Apache-2.0	2 days ago
Release WorkflowGoldziher/spikard	123	—	~909	Automated safety check: Pass	MIT	4 days ago
Better Notifybetter-notify/better-notify	313	—	~783	Automated safety check: Pass	MIT	1 mo ago
Execute Issuelbedner/aegis-stack	143	—	~1.1k	Automated safety check: Pass	MIT	today
degit Project ScaffoldingRich-Harris/degit	7.9k	—	~534	Automated safety check: Pass	MIT	24 days ago
Rust Hygiene Audittsz-org/tsz	572	—	~1.5k	Automated safety check: Pass	Apache-2.0	28 days ago

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Questions about Agentify

What does Agentify do?

Beta — Deploy the autonomous-repo feedback loop into a GitHub repo. Agentify is an agent skill from tokencanopy/e2a. Beta — Deploy the autonomous-repo feedback loop into a GitHub repo.

When should I use Agentify?

Agentify fits situations like: someone wants to make a repo self-managing / agentify it / install the feedback loop; tasks that involve Project scaffolding; tasks that involve Transactional email.

How do I install Agentify in Claude Code?

Run `npx skills add tokencanopy/e2a --skill agentify -a claude-code`. Or copy the skill folder (plugins/e2a-labs/skills/agentify in tokencanopy/e2a) into .claude/skills/agentify in your project. Claude Code loads it when a task matches its description.

How do I install Agentify in Codex?

Run `npx skills add tokencanopy/e2a --skill agentify -a codex`. Or copy the skill folder (plugins/e2a-labs/skills/agentify in tokencanopy/e2a) into .agents/skills/agentify in your project. Codex loads it when a task matches its description.

Can I use Agentify 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 tokencanopy/e2a --skill agentify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentify, .gemini/skills/agentify, .github/skills/agentify and .opencode/skills/agentify in your project.

What does Agentify need to run?

Going by SKILL.md and its folder, Agentify needs a shell and JavaScript for the scripts in its folder and credentials named CLAUDE_CODE_OAUTH_TOKEN, ANTHROPIC_API_KEY, E2A_API_KEY and AUTOREPO_APP_PRIVATE_KEY. Our summary lists: Node.js; A Bash shell; A credential in CLAUDE_CODE_OAUTH_TOKEN; A credential in ANTHROPIC_API_KEY.

Does Agentify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agentify 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 Agentify use?

Agentify is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentify use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Agentify?

Skills that share tags, products or a category with Agentify: Release Workflow (Goldziher/spikard, 123 stars), Better Notify (better-notify/better-notify, 313 stars), Execute Issue (lbedner/aegis-stack, 143 stars) and degit Project Scaffolding (Rich-Harris/degit, 7.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentify?

tokencanopy (a GitHub organization) maintains it in tokencanopy/e2a, which has 192 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 6, 2026.

Source: tokencanopy/e2a on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Agentify

Install Agentify

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

agentify — deploy the autonomous-repo feedback loop

What gets scaffolded into the target repo

Deploy procedure

After merge + setup

References

Files

Compare with similar skills

Similar skills

Release Workflow

Better Notify

Execute Issue

degit Project Scaffolding

Rust Hygiene Audit

Issue To Regression Test

More from tokencanopy/e2a

Autopilot

E2a

Email Evals

Tether

E2a Doctor

E2a Integrate

Questions about Agentify

Install Agentify

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

agentify — deploy the autonomous-repo feedback loop

What gets scaffolded into the target repo

Deploy procedure

After merge + setup

References

Files

Compare with similar skills

Similar skills

More from tokencanopy/e2a

Related

Questions about Agentify