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.
curl -O https://raw.githubusercontent.com/TadMSTR/task-queue-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/TadMSTR/task-queue-mcpWrote 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.
[](https://agentmods.dev/instructions/tadmstr/task-queue-mcp/agents-md)<a href="https://agentmods.dev/instructions/tadmstr/task-queue-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tadmstr/task-queue-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/tadmstr/task-queue-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/tadmstr/task-queue-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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 toTASK_QUEUE_DIR(initial statussubmitted, excepttask_type="notify", which is written straight tocompleted— 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_archivedandinclude_dead_lettersare separate opt-ins, both off by default.get_task(task_id)— Retrieve a single task by ID. Searches the queue root, thenarchive/, thendead-letters/.update_task(task_id, status, ...)— Move a task toin-progress,completed, orfailed(records actor/note/history).set_task_status(task_id, ...)— Operator-lane transitions (approved,cancelled,parked, audited overrides, out-of-vocabulary repair).routing-failedis 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 toparked_from, or to an explicit status.amend_task(task_id, amendment, actor, reason)— Append a correction underpayload.amendments. Never mutatespayload.description.requeue_dead_letter(task_id, actor, note)— Operator-only. Move a record out ofdead-letters/back to the queue root atsubmitted. The only path in this server that walks a record out of a terminal status, and it is scoped to that one directory.
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.
- 1mo ago Changed · +6 lines · +109 tokens per session 126f3268d33d
- 1mo ago Changed · +10 lines · +417 tokens per session 7f0bd4877bdc
- 2mo ago First seen · 84 lines · 1,901 tokens per session scan A 2ea7ba91cd19
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.
task-queue-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| task-queue-mcp AGENTS.mdTadMSTR/task-queue-mcp | Instructions file | 3 | 3d ago | MIT | A | 2,427 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |