inbox

inbox is a skill for Claude Code, Codex from firatcand/forge. It costs 58 tokens per session (1,736 once invoked), scanned A, original, MIT.

An inbox command for reviewing blocked tasks that are waiting for a decision. It shows their open questions, lets you choose which to answer, and records your choices.

In plain words
What is it for?
Use it to review parked questions, choose answers through prompts, and send those answers back to the waiting tasks.
Why use it?
It gathers pending decisions in one place so blocked work can continue without repeatedly searching project state.

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/firatcand/forge/inbox
Any agent
npx skills add firatcand/forge --skill inbox
Clone the repo
git clone --depth 1 https://github.com/firatcand/forge

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for inbox

README.md
[![agentmods](https://agentmods.dev/badge/skills/firatcand/forge/inbox.svg)](https://agentmods.dev/skills/firatcand/forge/inbox)
Your own site
<a href="https://agentmods.dev/skills/firatcand/forge/inbox"><img src="https://agentmods.dev/badge/skills/firatcand/forge/inbox.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,736 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 5.1 $0.00058 $0.01736
Opus 5 $0.00029 $0.00868
Sonnet 5 $0.00012 $0.00347
Haiku 4.5 $0.00006 $0.00174

Measured 5d ago against content hash a4942ff28448, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

inbox 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.

skills/inbox/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/inbox

/inbox is the single interactive surface for draining parked decisions — tasks sitting in blocked_on_question because a worker (or a review/drive escalation) hit a fork it could not resolve autonomously and wrote a forge orchestrate question. The skill reads the inbox, shows a tagged digest, lets the user pick which question(s) to answer now, deep-dives each one via AskUserQuestion (per skills/_shared/question-format.md), and records the chosen option through the answer verb. It does one pass and returns.

This is one pass — NOT a loop

/inbox reads the current parked set, drains what the user picks, and RETURNS. It MUST NOT self-loop: no sleep, no watch, no while, no --follow, no --watch. A newly-parked question that arrives after this pass is surfaced the next time the user runs /inbox (or by /statusline). There is no daemon.

Skill ↔ verb contract

/inbox owns the UX — the digest, the pick, the per-question deep-dive prompt. The answer verb owns the state write. Recording an answer goes through forge orchestrate answer; /inbox NEVER writes into .forge/orchestrator/ directly. The parked worker's own next heartbeat picks the answer up and transitions blocked_on_question → awaiting_respawn/inbox does not transition task state itself.

/inbox spawns no subagents (no Task tool): the deep-dive is a direct AskUserQuestion to the user, and the only mutation is the answer verb.


Step 1 — Read the inbox (read-only)

forge orchestrate inbox --json

Parse the envelope's data:

  • data.parked_tasks[] — each parked task: task_id, state (blocked_on_question), and open_questions[]. Each open question carries question_id, decision_key, question (the prompt text), options[] (each with id, label, optional description), recommended_option_id (optional), classification (with decision_type + category), and created_at.
  • data.by_category — a sparse { category: count } tally of open questions across all parked tasks (only categories with ≥1 open question appear).

Read the full file on GitHub · 158 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 · 158 lines · 58 tokens per session scan A a4942ff28448

Subscribe to this mod's changes

inbox is a skill published in the GitHub repository firatcand/forge (13 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 1,736 once invoked, about $0.0003 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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