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.
npx agentmods add skills/agenticnotetaking/arscontexta/tasksnpx skills add agenticnotetaking/arscontexta --skill tasksgit clone --depth 1 https://github.com/agenticnotetaking/arscontextaWhat 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 | $0.00049 | $0.02803 |
| Opus 5 | $0.00024 | $0.01401 |
| Sonnet 5 | $0.00010 | $0.00561 |
| Haiku 4.5 | $0.00005 | $0.00280 |
Grade A, and why
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 2d 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 — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Runtime Configuration (Step 0 — before any processing)
Read these files to configure domain-specific behavior:
-
ops/derivation-manifest.md— vocabulary mapping- Use
vocabulary.notesfor the notes folder name - Use
vocabulary.note/vocabulary.note_pluralfor note type references - Use
vocabulary.topic_mapfor MOC references - Use
vocabulary.cmd_reflect/vocabulary.cmd_reweave/vocabulary.cmd_verifyfor phase command names
- Use
-
ops/config.yaml— pipeline chaining mode, automation settings
If no derivation file exists, use universal terms.
EXECUTE NOW
Target: $ARGUMENTS
Parse the operation:
- No arguments or
status: show task stack + queue state (combined view) add [description]: add a task to the stackdone [task-number]: mark a task as completeddrop [task-number]: remove a task without completingreorder [number] [position]: move a task to a different position in the stackdiscoveries: show only the Discoveries section
START NOW. Execute the requested operation.
Philosophy
Two systems, one view.
The task stack (ops/tasks.md) and the pipeline queue (ops/queue/queue.yaml or ops/queue/queue.json) serve different purposes:
| System | Purpose | Managed By | Updated By |
|---|---|---|---|
| Task stack | Human priorities — what YOU want to work on | You (via /tasks) | Manual: /tasks add, /tasks done |
| Pipeline queue | Automated processing state — what the SYSTEM needs to process | Pipeline skills | Automatic: /reduce, /ralph, /reflect |
/tasks shows BOTH so you always have a unified view of all pending work. The task stack is your working memory. The pipeline queue is the system's working memory. Together they answer: "What should I do next?"
Operations
/tasks (or /tasks status)
Show both the human task stack and the automated queue.
Step 1: Read task stack
# Read ops/tasks.md
cat ops/tasks.md 2>/dev/null
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 403 lines · 49 tokens per session scan A 7d80f3ea780c
tasks is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 2,803 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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