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 yonatangross/orchestkit --skill prompt-focusgit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/prompt-focus)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/prompt-focus"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/prompt-focus/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/yonatangross/orchestkit/prompt-focus"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/prompt-focus.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 | $0.00047 | $0.00926 |
| Opus 5.5 | $0.00019 | $0.00370 |
| Sonnet 5.5 | $0.00009 | $0.00185 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
prompt-focus 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
prompt-focus
Where did your attention go, and what do you keep telling your agents again and again? This skill answers from your own input history, on your machine.
Quick Reference
| Command | What it does | Output |
|---|---|---|
scan |
read history, attribute, aggregate | agg.json (counts only) |
report |
scan, then build the page | report.html |
daily [YYYY-MM-DD] [--force] |
append one finished day (yesterday by default), once; today needs --force and is written as a partial row that a later run replaces |
daily.jsonl |
demo [path] |
the same page from synthetic data | a shareable demo page |
selftest |
synthetic run with privacy asserts | exit 0 or an assert |
Output dir: $PROMPT_FOCUS_DIR, default ~/.claude/prompt-focus. The exact call shape for Claude Code is in references/claude-code.md.
Quick Start Example
python3 "${CLAUDE_SKILL_DIR}/scripts/prompt_focus.py" report # writes ~/.claude/prompt-focus/report.html
python3 "${CLAUDE_SKILL_DIR}/scripts/prompt_focus.py" demo /tmp/prompt-focus-demo.html # synthetic data, safe to share
Optional ~/.claude/prompt-focus/config.json:
{"areas": {"billing": ["invoice", "stripe"]}, "brief_patterns": ["^\\s*TASK-\\d+:"], "weeks": 20}
Workflow
- Run
report, then openreport.htmlfor the user. - Lead with the verdict line from the page: the top area, prompts per week, and the nudge and words-per-prompt trend.
- Point at the re-typed asks. Each one has its first-4 vs last-4 weeks trend and a proposed default; the page's copy-as-prompt turns the ticked ones into one request.
- If the user runs several agents that paste briefs into the terminal, check 20 random rows before trusting the split, and add their brief markers to
brief_patterns. See references/how-it-works.md.
Key Decisions
- Your words only. A paste counts as one event, not as words; a slash command or shell line counts apart; text matching
brief_patternsis an agent's, not yours. - Counts only.
agg.json,daily.jsonland the page hold numbers and category names. Prompt text is read in memory and never written. - Rolling window. Always the last 20 weeks ending today (
weeksin config). - Areas. Your project folder by default; add
areasregexes inconfig.jsonto group by topic instead.
What ships with it
4 files 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 · 71 lines · 47 tokens per session scan A 34e24487d3e4
prompt-focus is a skill published in the GitHub repository yonatangross/orchestkit (295 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 926 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 2026-10-08.
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