paperclip: Skill for Claude Code

.agents/skills/create-runner-adapter/SKILL.md

create-runner-adapter is a skill for Claude Code, Codex from paperclipai/paperclip. It costs 53 tokens per session (1,114 once invoked), scanned A, original, MIT.

A step-by-step method for adding a new provider adapter to Paperclip Runner. An adapter connects an agent system to Runner so Runner can launch it and handle its results.

In plain words
What is it for?
Use it when adding a new Runner harness, including writing the release requirements, recording supported capabilities, and running acceptance tests.
Why use it?
It replaces ad hoc integration work with a defined process for researching the protocol, implementing the connection, packaging it, and checking that it works end to end.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is paperclipai/paperclip's own configuration. It tells Claude Code and Codex how to work on paperclip itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything paperclip configures →

About the project

Paperclip is a Node.js server and React application for coordinating AI agents as a business team, with goals, organizational roles, budgets, governance, and work tracking in one interface. It is used by people managing multiple agents or autonomous agent organizations across tools such as OpenClaw, Claude Code, Codex, and Cursor. The catalogue includes skills, agents, an MCP add-on, and an instruction for working with Paperclip.

paperclipai/paperclip · 107,044 stars · on GitHub · paperclip.ing

Reuse

Borrowing it

Nothing to install: this file belongs to paperclipai/paperclip. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/paperclipai/paperclip/master/.agents/skills/create-runner-adapter/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/paperclipai/paperclip

Made for: Claude Code, Codex.

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README.md
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agentmods 80×15 button for create-runner-adapter

Your own site · 80×15
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Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,114 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.01114
Opus 5.5 $0.00021 $0.00446
Sonnet 5.5 $0.00011 $0.00223
Haiku 4.5 $0.00005 $0.00111

Measured 5d ago against content hash 5d112873f396, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

create-runner-adapter 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 5d 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.

.agents/skills/create-runner-adapter/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Add a native Runner adapter

Use this skill to add a harness to the new, native Paperclip Runner execution system. Here, adapter means the provider translation and launch integration behind a Runner harness driver. Preserve existing direct adapters and historical records as compatibility constraints; do not route this work through their package-authoring recipe or migrate agents as a side effect.

The complete procedure is the Runner integration playbook. Use its working templates for the release contract, capability inventory, acceptance ledger, and failure record. These repository files contain the decision rules and test criteria themselves. No private chat, task, prior campaign, or separate private repository is required. Source links identify code to inspect, not evidence that a new integration passed.

If this skill was installed separately, locate the target checkout from the current workspace or git rev-parse --show-toplevel. Verify it contains packages/paperclip-runner and tests/runner-e2e; resolve doc/ paths there. Follow that checkout's AGENTS.md and scoped rules before editing.

Work sequence

  1. Define a finite release. Read playbook sections 1–3. Record the user outcome, first environment, supported platforms, setup/auth, required capabilities, selected acceptance model, spending limits, and delivery target. Keep the complete capability inventory separate from the release requirements.
  2. Investigate the actual harness. Use section 4. Inspect versioned official docs, native source or shipped code, real protocol traffic, and account/model behavior. Track every capability through native harness, wrapper, Runner, controller, and UI. Distinguish documented, observed, and qualified support.
  3. Prove one complete slice. Use sections 5–7. Establish exact model and instruction admission, scoped tools and credentials, then complete one real Paperclip task with independently verified output and physical cleanup. Exercise ordinary connect/save/reopen/Test/reconnect in the selected environment; check database constraints and account/model routing as well as driver execution.
  4. Complete the promised behavior. Use sections 8–10. Preserve rich events, durable human decisions, callback identity, recovery, cancellation, and terminal settlement. Keep provider-specific semantics in provider code.
  5. Prove delivery. Use section 11. Exercise clean installed packages and the agreed execution environment; verify the complete runtime closure and immutable image identity. A source checkout or startup probe is insufficient delivery proof.
  6. Qualify the release. Use sections 12–15. Begin with deterministic and real dependency checks, then run exact Product E2E cells through browser/server/DB/ Runner/provider. Section 12 includes a repository-contained test-authoring path. Freeze the candidate and retain original failures, cost coverage, and cleanup.
  7. Hand off an operable result. Use section 16 and the templates. Account for repository checks, exact passing evidence, remaining limits, installation, operation, and rollback. Keep merge, publish, deploy, and canary claims distinct.

Read the full file on GitHub · 87 lines

Changes

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.

  1. 5d ago First seen · 87 lines · 53 tokens per session scan A 5d112873f396

Subscribe to this mod's changes

create-runner-adapter is a skill published in the GitHub repository paperclipai/paperclip (107,044 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,114 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-20.