create-agent-adapter

A workflow for connecting Paperclip to a specific AI agent runtime, such as a command-line agent, custom process, or web service. An adapter translates between Paperclip and that runtime for the server, interface, and command-line tool.

In plain words
What is it for?
Use it to add or modify an adapter, including execution, output parsing, agent setup configuration, transcript display, and terminal event formatting.
Why use it?
It provides a consistent structure for adding an agent without scattering runtime-specific code across the product.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/paperclipai/paperclip/create-agent-adapter
Any agent
npx skills add paperclipai/paperclip --skill create-agent-adapter
Clone the repo
git clone --depth 1 https://github.com/paperclipai/paperclip

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00041 $0.07561
Opus 5 $0.00020 $0.03780
Sonnet 5 $0.00008 $0.01512
Haiku 4.5 $0.00004 $0.00756

Measured yesterday against content hash bf78983547d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-agent-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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/create-agent-adapter/SKILL.md · 717 lines

How it starts

The opening of the file, as written. The whole thing — 717 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creating a Paperclip Agent Adapter

An adapter bridges Paperclip's orchestration layer to a specific AI agent runtime (Claude Code, Codex CLI, a custom process, an HTTP endpoint, etc.). Each adapter is a self-contained package that provides implementations for three consumers: the server, the UI, and the CLI.


1. Architecture Overview

packages/adapters/<name>/
  src/
    index.ts            # Shared metadata (type, label, models, agentConfigurationDoc)
    server/
      index.ts          # Server exports: execute, sessionCodec, parse helpers
      execute.ts        # Core execution logic (AdapterExecutionContext -> AdapterExecutionResult)
      parse.ts          # Stdout/result parsing for the agent's output format
    ui/
      index.ts          # UI exports: parseStdoutLine, buildConfig
      parse-stdout.ts   # Line-by-line stdout -> TranscriptEntry[] for the run viewer
      build-config.ts   # CreateConfigValues -> adapterConfig JSON for agent creation form
    cli/
      index.ts          # CLI exports: formatStdoutEvent
      format-event.ts   # Colored terminal output for `paperclipai run --watch`
  package.json
  tsconfig.json

Three separate registries consume adapter modules:

Registry Location Interface
Server server/src/adapters/registry.ts ServerAdapterModule
UI ui/src/adapters/registry.ts UIAdapterModule
CLI cli/src/adapters/registry.ts CLIAdapterModule

2. Shared Types (@paperclipai/adapter-utils)

All adapter interfaces live in packages/adapter-utils/src/types.ts. Import from @paperclipai/adapter-utils (types) or @paperclipai/adapter-utils/server-utils (runtime helpers).

Core Interfaces

// The execute function signature — every adapter must implement this
interface AdapterExecutionContext {
  runId: string;
  agent: AdapterAgent;          // { id, companyId, name, adapterType, adapterConfig }
  runtime: AdapterRuntime;      // { sessionId, sessionParams, sessionDisplayId, taskKey }
  config: Record<string, unknown>;  // The agent's adapterConfig blob
  context: Record<string, unknown>; // Runtime context (taskId, wakeReason, approvalId, etc.)
  onLog: (stream: "stdout" | "stderr", chunk: string) => Promise<void>;
  onMeta?: (meta: AdapterInvocationMeta) => Promise<void>;
  authToken?: string;
}

interface AdapterExecutionResult {
  exitCode: number | null;
  signal: string | null;
  timedOut: boolean;
  errorMessage?: string | null;
  usage?: UsageSummary;           // { inputTokens, outputTokens, cachedInputTokens? }
  sessionId?: string | null;      // Legacy — prefer sessionParams
  sessionParams?: Record<string, unknown> | null;  // Opaque session state persisted between runs
  sessionDisplayId?: string | null;
  provider?: string | null;       // "anthropic", "openai", etc.
  model?: string | null;
  costUsd?: number | null;
  resultJson?: Record<string, unknown> | null;
  summary?: string | null;        // Human-readable summary of what the agent did
  clearSession?: boolean;         // true = tell Paperclip to forget the stored session
}

interface AdapterSessionCodec {
  deserialize(raw: unknown): Record<string, unknown> | null;
  serialize(params: Record<string, unknown> | null): Record<string, unknown> | null;
  getDisplayId?(params: Record<string, unknown> | null): string | null;
}

Read the full file on GitHub · 717 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. yesterday First seen · 717 lines · 41 tokens per session scan A bf78983547d9

Subscribe to this mod's changes

create-agent-adapter is a skill published in the GitHub repository paperclipai/paperclip (79,688 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 7,561 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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