A recommendation tool that examines your task list, queued work, inbox pressure, health, and goals to suggest one next action. It reads local configuration files when they are available.

Use it when you ask what to do next or run `/next`. It gives one recommended action and the reason for it, leaving the decision to you.

It helps turn many competing tasks into one concrete recommendation without carrying out the work automatically.

next — Skill by agenticnotetaking

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/agenticnotetaking/arscontexta/next

Any agent

npx skills add agenticnotetaking/arscontexta --skill next

Clone the repo

git clone --depth 1 https://github.com/agenticnotetaking/arscontexta

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,673 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.

Model	Per session	Once invoked
Fable 5	$0.00050	$0.04673
Opus 5	$0.00025	$0.02337
Sonnet 5	$0.00010	$0.00935
Haiku 4.5	$0.00005	$0.00467

Measured 2d ago against content hash 6a654614357c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

next 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.

skill-sources/next/SKILL.md · 408 lines

How it starts

The opening of the file, as written. The whole thing — 408 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, domain context
- Use vocabulary.notes for the notes folder name
- Use vocabulary.inbox for the inbox folder name
- Use vocabulary.note for the note type name in output
- Use vocabulary.topic_map for MOC references
- Use vocabulary.cmd_reduce for process/extract command
- Use vocabulary.cmd_reflect for connection-finding command
- Use vocabulary.cmd_reweave for backward-pass command
- Use vocabulary.rethink for rethink command name
ops/config.yaml — thresholds, processing preferences
- self_evolution.observation_threshold (default: 10)
- self_evolution.tension_threshold (default: 5)

If these files don't exist, use universal defaults and generic command names.

EXECUTE NOW

INVARIANT: /next recommends, it does not execute. Present one recommendation with rationale. The user decides what to do. This prevents cognitive outsourcing where the system makes all work decisions and the user becomes a rubber stamp.

Execute these steps IN ORDER:

Step 1: Read Vocabulary

Read ops/derivation-manifest.md (or fall back to ops/derivation.md) for domain vocabulary mapping. All output must use domain-native terms. If neither file exists, use universal terms (notes, inbox, topic map, etc).

Step 2: Reconcile Maintenance Queue

Before collecting state, evaluate all maintenance conditions and reconcile the queue. This ensures maintenance tasks are current before the recommendation engine runs.

Read queue file (ops/queue/queue.json or ops/queue.yaml). If schema_version < 3, migrate:

Add maintenance_conditions section with default thresholds
Add priority field to existing tasks (default: "pipeline")
Set schema_version: 3

For each condition in maintenance_conditions:

Evaluate the condition:

Read the full file on GitHub · 408 lines

Files

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.

skill.json 469 B

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.

2d ago First seen · 408 lines · 50 tokens per session scan A 6a654614357c

Subscribe to this mod's changes

next is a skill published in the GitHub repository agenticnotetaking/arscontexta (3,486 stars, last pushed 6mo ago), licensed MIT. It adds 50 tokens to every session and 4,673 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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