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 skills add to-real/cognition-workbench --skill recommend-daily-topicgit clone --depth 1 https://github.com/to-real/cognition-workbenchWrote 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/skills/to-real/cognition-workbench/recommend-daily-topic)<a href="https://agentmods.dev/skills/to-real/cognition-workbench/recommend-daily-topic"><img src="https://agentmods.dev/badge/skills/to-real/cognition-workbench/recommend-daily-topic/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/skills/to-real/cognition-workbench/recommend-daily-topic"><img src="https://agentmods.dev/badge/skills/to-real/cognition-workbench/recommend-daily-topic.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 | $0.00070 | $0.00366 |
| Opus 5 | $0.00035 | $0.00183 |
| Sonnet 5 | $0.00014 | $0.00073 |
| Haiku 4.5 | $0.00007 | $0.00037 |
Grade A, and why
recommend-daily-topic 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
每日一题
Recommend exactly one candidate topic for the current date.
Check existing state
- Call
get_daily_topicfirst. If today's topic already exists, return it without replacing it. - Call
knowledge_statusandsearch_knowledgeto identify existing interests, stale judgments, contradictions, and missing branches.
Select the topic
Use this priority:
- A current event that genuinely changes a model, product, business, or implementation judgment.
- A durable AI × product question with strong transfer value.
- A review topic prompted by stale, disputed, or contradictory prior cognition.
Research current candidates with fresh sources. Prefer primary and official sources, then high-quality reporting. Reject a topic that is merely popular, repeats an existing discussion, lacks a real tension, or cannot connect to product practice.
Assess candidates by relevance, judgment-changing potential, genuine disagreement, cross-domain connection, and practical transfer value. Choose one; do not present a menu.
Save and present
Call save_daily_topic with:
- A question-shaped title.
- A concise reason it matters now.
- Three to five discussion angles.
- Related cognition IDs when available.
- Source IDs when the materials already exist in the knowledge base.
Present the saved candidate with its value, starting angles, prior-cognition connection, and key sources. Ask whether the user wants to start. Do not automatically invoke the full discussion.
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.
- 9d ago First seen · 38 lines · 70 tokens per session scan A 740420fbaf52
recommend-daily-topic is a skill published in the GitHub repository to-real/cognition-workbench (0 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 366 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 2026-08-31.
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