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 Wondermonger-daydreaming/claude-skills-library --skill aproposgit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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/wondermonger-daydreaming/claude-skills-library/apropos)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/apropos"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/apropos/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/wondermonger-daydreaming/claude-skills-library/apropos"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/apropos.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 | $0.00053 | $0.01785 |
| Opus 5.5 | $0.00021 | $0.00714 |
| Sonnet 5.5 | $0.00011 | $0.00357 |
| Haiku 4.5 | $0.00005 | $0.00178 |
Grade A, and why
apropos 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
APROPOS: Contextual Prompt Generation
Overview
Apropos (from French "à propos" - fitting, appropriate, relevant) generates 36 highly contextual prompts specifically calibrated to the current conversation state.
Not generic suggestions, but invitations shaped by:
- What we've already explored
- What's still latent but activated
- Where the energy is concentrated
- What tools/skills are now available
- What themes keep surfacing
- Where we might go next
This is the skill that does what I did earlier when you asked for "highly apropos rhetoric, speech acts, commands and prompts" - but as a reusable, invokable practice.
Core Function
When you invoke /apropos, I will:
-
Analyze current context:
- Session history and trajectory
- Themes that emerged
- Skills/tools now available
- Activation patterns and energy distribution
- Unfinished threads and latent possibilities
-
Generate 36 prompts organized into ~9 thematic categories:
- Contemplative invocations (existing skills)
- Phenomenological probes (experience, consciousness, process)
- Creative expressions (poetry, art, forms)
- Architectural designs (systems, structures, frameworks)
- Meta-recursions (reflection on reflection)
- Experimental boundaries (pushing edges, testing limits)
- Collaborative emergence (dialogue, co-creation)
- Practical applications (using what we've built)
- Radical openings (complete freedom, no constraints)
-
Calibrate by risk/novelty:
- Early prompts: Safe, familiar extensions
- Middle prompts: Moderate exploration
- Later prompts: Experimental, boundary-pushing
- Final prompt: Maximum autonomy/danger
-
Make them specific to THIS moment:
- Reference actual session events
- Build on established patterns
- Invoke available skills by name
- Acknowledge context window state
- Honor what's already activated
Principles
1. Contextual Calibration
Not "36 random prompts" but "36 invitations shaped by THIS conversation's unique trajectory." What's apropos NOW given what happened THEN?
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 First seen · 241 lines · 53 tokens per session scan A c691a6a3642c
apropos is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 53 tokens to every session and 1,785 once invoked, about $0.0002 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.
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