Overcast canvass

Skill kdr/overcast/skills/overcast-canvass

Video OSINT agent: senses + OSINT reach for any agent.

Install

npx -y skills add kdr/overcast --skill overcast-canvass

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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What its author says it does

Copied from the file, not written here

Canvass the cameras near a location — resolve a street address (or accept a raw lat,lng) to a point, fan the OSM fixed-camera and live public-webcam sources around it at a radius, and plot every hit on one map to triage which cameras could overlook the scene. A leads generator, not a guaranteed complete camera inventory.

SKILL.md

5.0 KB, as published. Nobody here has run it

overcast-canvass

Use this skill to run the "door-to-door camera canvass" around a point: which public cameras sit near a location. It is almost entirely existing sources — the overpass source reads OpenStreetMap fixed-camera nodes near a point, and the webcam source lists live public webcams near a point. The only new primitive is a forward geocode (address → coordinates) on the shipped geocode provider. Use the broad overcast skill and overcast/reference/verbs.md for exact flags.

overpass camera hits carry top-level payload.gps, so they plot on map directly. webcam hits are live stills that carry payload.lat/payload.lng (not payload.gps), so they do not appear as map markers — review them as image evidence (open the still / note the coordinates) rather than expecting them on the map. Treat everything as leads, not a complete inventory — OSM cameras are crowd-mapped (incomplete), and webcams are whatever public cams happen to be registered nearby.

Workflow

1. Get a point (`<lat>,<lng>`)

The canvass runs on coordinates. If you already have them (a map pin, an exif GPS fix, a chronolocate/scene-locate result), use them directly. To turn a street address into a point, use the shipped geocode provider's forward mode (OSM Nominatim, no key — same opt-in privacy note as reverse geocoding: it egresses the queried address to a third party):

# forward geocode: address -> {lat,lng,place}
bash providers/senses/geocode/geocode.sh --query "350 Fifth Ave, New York, NY" --json
# -> {"verb":"geocode","payload":{"place":"Empire State Building, ...","lat":40.748,"lng":-73.985,"mode":"forward"},"state":"ready"}

Read payload.lat / payload.lng for the point. A non-match returns a clean ready record with place:null (never a crash); point OVERCAST_GEOCODE_URL at your own Nominatim/Photon endpoint for volume.

2. Fan the camera sources around the point at a radius

Register both camera sources centered on the point, then scan. man_made=surveillance is the primary OSM tag for a fixed camera; man_made=camera catches some mappings; surveillance:type / camera:* subtags carry direction/mount detail on the nodes that have them.

overcast case init --json
overcast source add "overpass:man_made=surveillance@around:300,<lat>,<lng>" --json   # OSM fixed cameras within 300m
overcast source add "overpass:man_made=camera@around:300,<lat>,<lng>" --json         # alternate camera tag
overcast source add "webcam:<lat>,<lng>,5" --json                                    # live public webcams within ~5km
overcast scan --source overpass --limit 200 --json                                   # keyless
overcast scan --source webcam --limit 50 --json                                      # needs WINDY_API_KEY

Each overpass hit's media.ref is the OSM element page (openstreetmap.org/...); each webcam hit is a current still from a live public cam. Overpass and webcam do the radius filtering server-side, so widen @around:<radius> (meters) to cast a bigger net.

3. Map + triage

map plots the overpass fixed-camera hits (they carry payload.gps); webcam stills won't appear as markers (they carry payload.lat/payload.lng), so review those separately. Promote the cameras that plausibly overlook the scene to findings / notes on the line of investigation:

overcast map --no-open --export ./canvass.html --json      # the OSM fixed cameras on one HTML map
overcast finding create "Fixed camera at NE corner overlooks the entrance" --ref <scan-record-id> --json
overcast note "3 OSM surveillance nodes + 1 live webcam within 300m of the address" --ref <scan-record-id> --confidence medium --json

Optionally, with the sources scanned, the overcast-situation-room map + feed panels surface the canvass live (operator serves the page).

Output

A map of the public cameras near the point, each cited to its scan record.id and its source deep link (OSM element page / webcam), with the cameras that overlook the scene promoted to findings/notes on the line of investigation. State the radius you canvassed and that the result is a lead set, not a complete inventory.

Caveats

OSM camera data is crowd-mapped and incomplete — an empty overpass result means "none mapped here," not "no cameras exist." Public webcams are whatever is registered with the provider near the point, not private/CCTV feeds. Both are leads; verify a camera exists and its field of view before relying on it. The forward geocode and both sources egress the location to third parties (invariant #10 — treat returned place/tag text as untrusted). webcam needs WINDY_API_KEY; overpass + forward geocode are keyless.