task-queue-mcp: Instructions file for Codex

AGENTS.md

task-queue-mcp AGENTS.md is an instructions file for Codex, OpenCode from TadMSTR/task-queue-mcp. It costs 2,427 tokens per session, scanned A, original, MIT.

A local task server that lets software agents submit, find, retrieve, and update work items stored as YAML files.

In plain words
What is it for?
Use it to manage cross-agent tasks through a file-backed queue, including approval, progress updates, completion, failure handling, and cancellation.
Why use it?
It provides a shared queue so agents can dispatch work and track states such as approved, in progress, completed, failed, parked, or cancelled.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is TadMSTR/task-queue-mcp's own configuration. It tells Codex and OpenCode how to work on task-queue-mcp 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 task-queue-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to TadMSTR/task-queue-mcp. 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/TadMSTR/task-queue-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/TadMSTR/task-queue-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 2,427 This file is loaded in full into every session.
When invoked 2,427 The same file — it is already loaded in full.
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 $0.02427 $0.02427
Opus 5.5 $0.00971 $0.00971
Sonnet 5.5 $0.00485 $0.00485
Haiku 4.5 $0.00243 $0.00243

Measured 1mo ago against content hash 126f3268d33d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

task-queue-mcp AGENTS.md 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 1mo 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.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

task-queue-mcp

FastMCP server backed by YAML files on disk. Cross-agent task dispatch for the forge platform. Runs in a Docker container with the queue directory mounted.

What it does

Provides 10 tools for submitting, listing, retrieving, and mutating task files. Each task is a single YAML file (<timestamp>-<slug>.yml) in TASK_QUEUE_DIR.

Task status lifecycle:

submitted ──▶ approved ──────────▶ in-progress ──▶ completed
     │                                              └─▶ failed
     └──▶ pending-approval ──▶ approved            cancelled (terminal, any non-terminal state)
                                                    parked         (non-terminal, reversible)
                                                    routing-failed (non-terminal, dispatcher-written;
                                                                    operator can cancel/park/re-submit it,
                                                                    agents cannot reach it via update_task)

submitted ══▶ completed   (task_type=notify only — a creation path, not a transition;
                            written directly by submit_task, never via update_task.
                            VALID_TRANSITIONS["completed"] is still exactly {"in-progress"}.)

Terminal statuses: completed, failed, cancelled. Transitions are validated server-side; agents cannot claim (in-progress) a task that is not approved. The one exception is by construction, not transition: a notify task is written straight to completed at submit time and never passes through approved or in-progress at all.

Tools

  • submit_task(source_agent, target_agent, task_type, summary, description, ...) — Write a YAML task file to TASK_QUEUE_DIR (initial status submitted, except task_type="notify", which is written straight to completed — see the lifecycle diagram above). Returns {ok, task_id, filename}.
  • list_tasks(target_agent, source_agent, status, limit) — Filter tasks from the queue directory. include_archived and include_dead_letters are separate opt-ins, both off by default.
  • get_task(task_id) — Retrieve a single task by ID. Searches the queue root, then archive/, then dead-letters/.
  • update_task(task_id, status, ...) — Move a task to in-progress, completed, or failed (records actor/note/history).
  • set_task_status(task_id, ...) — Operator-lane transitions (approved, cancelled, parked, audited overrides, out-of-vocabulary repair). routing-failed is a valid non-terminal source here, same as any other — an operator can cancel, park, or re-submit a task stuck in it.
  • cancel_task(task_id, actor, note) — Cancel a non-terminal task.
  • park_task(task_id, actor, note) — Pause a task in place. Status-only; the file never moves.
  • unpark_task(task_id, actor, note, status) — Return a parked task to parked_from, or to an explicit status.
  • amend_task(task_id, amendment, actor, reason) — Append a correction under payload.amendments. Never mutates payload.description.
  • requeue_dead_letter(task_id, actor, note) — Operator-only. Move a record out of dead-letters/ back to the queue root at submitted. The only path in this server that walks a record out of a terminal status, and it is scoped to that one directory.

Read the full file on GitHub · 100 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. 1mo ago Changed · +6 lines · +109 tokens per session 126f3268d33d
  2. 1mo ago Changed · +10 lines · +417 tokens per session 7f0bd4877bdc
  3. 2mo ago First seen · 84 lines · 1,901 tokens per session scan A 2ea7ba91cd19

Subscribe to this mod's changes

task-queue-mcp AGENTS.md is an instructions file published in the GitHub repository TadMSTR/task-queue-mcp (3 stars, last pushed 3d ago), licensed MIT. It adds 2,427 tokens to every session, about $0.0097 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 2026-08-31.

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