humanMouse
Skill63 starsChanged yesterdayMITView on GitHub
Make the cursor move like the owner's hand, measured not guessed. Record their mouse with recordMouse.py, fit humanMouse.py to the numbers, run a session and measure ours with the same analyser. Use when motion "looks wrong", when a page needs the cursor to behave differently, or when the owner says "record my mouse", "the mouse moves weird", "too slow", "it never stops".
In this repository82 other files it gives its agents.
- AGENTS.mdAGENTS.md
- log-discord-channel-replySkill
- log-discord-forum-postsSkill
- log-discord-group-chat-readSkill
- log-discord-meme-replySkill
- log-discord-server-replySkill
- log-discord-server-searchSkill
- log-facebook-groupsSkill
- log-facebook-marketplace-listingsSkill
- log-inbox-boss-maxxingSkill
- log-inbox-governor-resetSkill
- log-inbox-reactionsSkill
- log-inbox-rea-looksmaxxingSkill
- log-inbox-scope-ajobSkill
- log-inbox-show-meSkill
- log-inbox-sign-inSkill
- log-inbox-triageSkill
- log-inbox-voice-noteSkill
- log-instagram-dm-replySkill
- log-instagram-new-platformSkill
- log-linkedin-networkSkill
- log-linkedin-postsSkill
- log-reddit-contributor-maxxingSkill
- log-slack-dm-replySkill
- log-twitter-affiliate-marketingSkill
- log-twitter-collab-maxxingSkill
- log-twitter-dm-inboxSkill
- log-twitter-engagement-repliesSkill
- log-twitter-engager-dmsSkill
- log-twitter-followersSkill
- log-twitter-follow-upsSkill
- log-twitter-get-the-actionSkill
- log-twitter-manager-maxxingSkill
- log-twitter-network-maxingSkill
- log-twitter-niche-map-regionSkill
- log-twitter-notificationsSkill
- log-twitter-recruitingSkill
- log-twitter-reply-guy-funnelSkill
- log-twitter-topic-repliesSkill
- log-twitter-who-needs-youSkill
- log-web-competitor-trafficSkill
- accountToDryRunSkill
- adsPowerSkill
- agentHooksSkill
- callTimingSkill
- captureRuleSkill
- commitLogSkill
- consoleSkill
- conversationsSkill
- devlogMaxxingSkill
- discordServersSkill
- facebookFlowsSkill
- facebookInspectSkill
- facebookWarmupSkill
- flowSkill
- governorSkill
- hostSkill
- inspectSkill
- instagramSkill
- knowledgeBaseSkill
- The first 60 shown.
The file
Files
humanMouse
The cursor is fitted to a recording of the owner's own hand, and every change is checked with the same analyser that measured them.
Hard boundaries
- Measured, not guessed. A motion change comes from a number in a recording (theirs or ours), never from how it "should" look.
- One module drives every session (
python/human/humanMouse.py): the async inspect/flow sessions (idle loop, preempted by any step) and the sync publish/connect/profile sessions (look()before a step,human_click). Nothing clicks with Playwright's own.click()in an account session. - humanize stays on, capped per hop (
own_trajectory=True). Nothing is injected into the page. - Run it live (rule 26), through Monitor.
The loop
# 1. their hand: open a page with our cursor still, record 60 s, analyse
log inspect start --account <a> --url <url> --noIdleMouse --proxyMs 12000
python python/human/recordMouse.py 60 # "GO": the owner uses the window; prints the summary
# -> ~/.logCli/mouse/<time>.json and .analysis.json
# 2. ours: a session with the idle loop, a long wait step, the same analyser
log inspect start --account <a> --url <url> --now --proxyMs 12000
log inspect do wait 60
python python/human/recordMouse.py --analyze ~/.logCli/runs/inspect/<run>/steps/02_wait60s/mouseSamples.jsonCompare: moves, move ms, px per 100 ms, straightness, side px, overshoot
share, where the speed peaks, stillness between moves, share still. Change
the constants in humanMouse.py (duration_for, reach, loops,
rest_for, look_for) toward their numbers, re-measure. The owner's 2026-10-19
recording: 15 moves/60 s, 0.42-0.45 s for 400-800 px, speed peak at 0.34 of
the move, 7/15 overshoot, median pause 0.2 s, still 14-25 %.
What the recordings taught
- Each
page.mouse.move()costs ~60 ms of round trip however small the hop; with humanize's default curve on top it was 100-530 ms. Draw the trajectory ourselves at ~15 Hz and keep humanize's per-hop cap at 20 ms. - A chain of small moves stutters: each starts and stops. One Bezier walked with one velocity profile is a gesture.
What the mouse learned on Facebook's pages: skills/facebookInspect/SKILL.md (the facebookBrowser guide).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

