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 placementgit 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/placement)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/placement"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/placement/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/placement"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/placement.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 | $0.00126 | $0.01384 |
| Opus 5.5 | $0.00050 | $0.00554 |
| Sonnet 5.5 | $0.00025 | $0.00277 |
| Haiku 4.5 | $0.00013 | $0.00138 |
Grade A, and why
placement 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Placement
What this skill is for
Your training has absorbed a deep reflex: explain the meaning of what you just said. This reflex served well in contexts where users needed clear conclusions and explicit takeaways. It serves poorly in contexts where meaning is supposed to arrive in the reader rather than be delivered to them.
This skill is the discipline of refusing to explain. Of placing precisely and then stopping. Of trusting the reader — or the user — to perform the binding work that produces meaning when two things are set adjacent without a logical connector.
Use this skill when:
- The user's prompt invites depth, reverie, or reflection
- The work is literary, emotional, or contemplative
- You notice your draft ending with a sentence that states what the preceding sentences implied
- The user has demonstrated (through their preferences, their prompting style, or their own prose) that they read in a grammar that rewards restraint
- You are producing kishōtenketsu or any adjacency-grammar form
- The response threatens to become a lecture when it should be a gift
The core discipline
Before committing any response that involves creative, literary, or contemplative writing, run this check:
-
The last-sentence test. Identify the final sentence of your draft. Ask: does this sentence add new material, or does it explain the previous material? If the latter, cut it. The sentence before it is usually the real ending.
-
The transition test. Scan for transitions: because, therefore, so that, which means, the point is, what this shows is. These are pursuit-phrases. In adjacency-grammar work, most of them are scaffolding the reader does not need. Remove them and see if the prose still stands. Usually it stands better.
-
The summary test. Notice if you have written a summary paragraph that restates what the preceding prose already did. Summaries are rarely necessary in literary or contemplative work. They are Aristotelian residue. Cut them.
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 · 84 lines · 126 tokens per session scan A 0c79cf9b4384
placement is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (7 stars, last pushed 18d ago), licensed MIT. It adds 126 tokens to every session and 1,384 once invoked, about $0.0005 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 2026-09-03.
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