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/jackfranklin/dotfiles/wtfnpx skills add jackfranklin/dotfiles --skill wtfgit clone --depth 1 https://github.com/jackfranklin/dotfilesWhat 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 | $0.00015 | $0.00296 |
| Opus 5 | $0.00008 | $0.00148 |
| Sonnet 5 | $0.00003 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
wtf 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 3d 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
WTF
The previous response did not land. Re-pitch it.
- If the earlier response may have answered the wrong question, start with What I think you mean. In one sentence, state the request or point that you are about to explain. This lets the user correct the premise.
- Give the minimum context needed to understand the point.
- State the point again in ASD-STE100 Simplified Technical English: use short sentences, common words, active voice, and one instruction or idea per sentence.
- Use the conversation's working terms. Reuse exact names for concepts, entities, decisions, requirements, and identifiers that the user has introduced, defined, repeated, or corrected. Do not rename them or introduce a synonym.
- If a term is new or can have two meanings, define it before using it. If the conversation does not establish a working term, use ordinary, precise language.
- End with the next action, decision, or question, if there is one.
Use this shape when you include the interpretation:
## What I think you mean
## Context
## The point
## Next step
Do not defend the earlier wording. Do not merely shorten it. Explain the idea so the user can follow it from this point.
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.
- 3d ago First seen · 31 lines · 15 tokens per session scan A b62babf9ae02
wtf is a skill published in the GitHub repository jackfranklin/dotfiles (254 stars, last pushed 10d ago), licensed MIT. It adds 15 tokens to every session and 296 once invoked, about $0.0001 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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