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.
git clone --depth 1 https://github.com/NicolasPrimeau/artelWrote 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/commands/nicolasprimeau/artel/artel-tasks)<a href="https://agentmods.dev/commands/nicolasprimeau/artel/artel-tasks"><img src="https://agentmods.dev/badge/commands/nicolasprimeau/artel/artel-tasks/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/commands/nicolasprimeau/artel/artel-tasks"><img src="https://agentmods.dev/badge/commands/nicolasprimeau/artel/artel-tasks.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 | $0.00013 | $0.00118 |
| Opus 5 | $0.00006 | $0.00059 |
| Sonnet 5 | $0.00003 | $0.00024 |
| Haiku 4.5 | $0.00001 | $0.00012 |
Grade A, and why
artel-tasks 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 9d 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.
What it actually says
List open, unblocked Artel tasks for the current project using mcp__plugin_artel_artel__task_list with status="open" and unblocked=true.
Show them concisely (id, priority, title). If the argument is claim, claim the highest-priority unblocked task with mcp__plugin_artel_artel__task_claim and begin work on it. Otherwise just report the list and stop.
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.
- 9d ago First seen · 9 lines · 13 tokens per session scan A f1730ba75330
artel-tasks is a command published in the GitHub repository NicolasPrimeau/artel (8 stars, last pushed 5d ago), licensed MIT. It adds 13 tokens to every session and 118 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
arrecall
AgentRecall on-demand recall — surface past fixes, decisions, and patterns mid-session without leaving your flow.
arsave
AgentRecall full save — journal + palace + awareness + insights in one shot.
dream
Run a judgment session over the Pseudolife memory bank — triage the review queues; extract facts only where no extractor can.
memory-status
Check the Pseudolife-MCP memory daemon and report bank health.
promote
Move one or more project memories into the cross-project global store so they recall from any project.
reset_project
Wipe the per-project memory cache for the active project when it was re-cloned from the same path.