Create and revise field-survey plans from supplied GeoJSON boundaries, exclusions, camera geometry and capture requirements.

MITAuto-check passedDocuments & Office

Install Pilot

skills CLI
$ npx skills add autonomous-ai/openharness --skill pilot -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install autonomous-ai/openharness pilot --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/drone-pilot/skills/pilot .claude/skills/pilot && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pilot
GitHub stars
1.1k
Token cost
~1.3k tokens
SKILL.md length
651 words
Files
3 (incl. scripts, references)
Skills in repo
100
Repo updated
First seen
Licence
MIT

At a glance

Create and revise field-survey plans from supplied GeoJSON boundaries, exclusions, camera geometry and capture requirements.

  • Works in 5 steps: Read flight/project.json and… → Author named boundary/exclusion layers… → Run node tools/build.mjs. DRONE_DSH_DIR… → …
  • Tasks that involve CSV and tabular files
  • SKILL.md covers Author and revise, Inspect recorded evidence and Deliver and verify
  • Runs Shell scripts from its folder; calls node

What it does

Pilot is an agent skill from autonomous-ai/openharness. Create and revise field-survey plans from supplied GeoJSON boundaries, exclusions, camera geometry and capture requirements. Use Drone Pilot for editable routes and sorties, recorded-flight CSV analysis, and portable GIS, CSV and report delivery.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/project.md` and `scripts/seed-verdict.sh`).

It sits in Documents & Office, covering CSV and tabular files. The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.

When your agent uses it

  • Tasks that involve CSV and tabular files

Example prompts

  • “/pilot”

Requirements

  • A Bash shell

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read flight/project.json and flight/DESIGN.md. Distinguish supplied measurements, user
  2. Author named boundary/exclusion layers and takeoff in local east/north meters. Keep the WGS 84
  3. Run node tools/build.mjs. DRONE_DSH_DIR resolves tools for materialized workspaces. The HTML
  4. Resolve infeasibility explicitly: cadence, narrow geometry, disconnected paths or an inadequate
  5. Compare directions with the UI when useful. It samples 12 angles in 15-degree steps plus the

What it can do on your machine

Read from SKILL.md and the folder at commit 50da5db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pilot loads about 1.3k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 651 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from autonomous-ai/openharness at commit 50da5db, republished under its MIT licence (© autonomous-ai). 651 words, ~1,269 tokens.

Download SKILL.mdSave it as .claude/skills/pilot/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
pilot
description
Create and revise field-survey plans from supplied GeoJSON boundaries, exclusions, camera geometry and capture requirements. Use Drone Pilot for editable routes and sorties, recorded-flight CSV analysis, and portable GIS, CSV and report delivery.

From a site to a field kit

Read the project contract. Start with what the person needs to document and the measurements they can supply. Translate ground-sampling or overlap requirements into camera geometry. Preserve their boundary and approved exclusions. Explain missing inputs in plain language; do not fabricate a georeferenced site, aircraft specifications or flight records.

Author and revise

  1. Read flight/project.json and flight/DESIGN.md. Distinguish supplied measurements, user decisions and explicit draft assumptions. The agent can create original polygon geometry; the starter orchard is only an example. Importing a GeoJSON file can replace or extend a site.
  2. Author named boundary/exclusion layers and takeoff in local east/north meters. Keep the WGS 84 origin and locked geometry stable during targeted edits. Camera sensor width is across a run; sensor height is along it. Line angles are counterclockwise from east.
  3. Run node tools/build.mjs. DRONE_DSH_DIR resolves tools for materialized workspaces. The HTML embeds its runtime; no CDN, map key or cloud service is needed to use or share the planner.
  4. Resolve infeasibility explicitly: cadence, narrow geometry, disconnected paths or an inadequate return budget. Do not silently relax requested height, speed, overlap, margin or reserve.
  5. Compare directions with the UI when useful. It samples 12 angles in 15-degree steps plus the current direction and reports time and coverage. This is not a global route optimization. Photo footprints and source paths are inspectable. Never imply that a straight geometric segment models the aircraft's turn radius, acceleration or navigation error.

The UI supports named area edits, direct vertex dragging, new polygons, precise coordinate edits, geometry locks, moving takeoff, camera/cadence settings, undo/redo and a take-home project file. Workspace saves keep prior source in .harness/history/. Source changes arriving while the user has a draft offer both versions. Do not overwrite either without an explicit save/restore choice. Offline HTML has the same model and browser file import/export; native path opening uses only the local viewer's explicit home-folder project picker.

Show full SKILL.md (328 more words)Show less

Inspect recorded evidence

Import a CSV with explicit latitude/longitude and time columns. Select elapsed seconds, milliseconds, or ISO 8601 timestamps with timezone. Altitude requires meters/feet and takeoff/AMSL reference; AMSL requires supplied takeoff elevation. Heading is degrees clockwise from north. Battery is a percentage. Events use 1/0, true/false or yes/no, with blank meaning unknown.

The retained original CSV and SHA-256 establish provenance. Row numbers and missing-coordinate breaks remain in the normalized records. Time gaps above the selected continuity threshold are not connected. Compare nearest-route distances with all planned routes or one sortie, inspect individual records and report samples/segments outside the inset region.

Footprint estimates need an event flag, positive height and heading, plus the current camera and level-ground/nadir assumptions. Do not infer events from ordinary telemetry, fill unknown fields, call nominal footprints observed images or claim an orthomosaic/photogrammetric reconstruction. The model does not process photographs. Reimport the original source to revise its mapping.

Deliver and verify

Run node tools/check.mjs for source, geometry and budget checks, then node tools/export.mjs:

  • .vector.json: editable boundaries, settings, camera and retained flight source, if supplied.
  • planner.html: one offline file with editing and all required runtime/license text embedded.
  • survey.geojson: source polygons, inset region, routes, planned captures, footprint estimates and gaps. Recorded paths/estimated event coverage are separate named features when present.
  • overlay.kml: map overlay with ground-clamped site and routes; not an altitude or mission file.
  • planned-photos.csv / planned-route.csv: explicit coordinates, height above takeoff and nominal times. CSV values are review data, not commands or tested autopilot configuration.
  • site-map.svg, report.html and report.json: portable map and calculations; print HTML to PDF.
  • Original and normalized recorded CSV when supplied, full dependency licenses, README and ZIP.

Browser exports use the current draft. Reopen GIS/CSV/HTML with an independent reader and review scale, coordinate order, dates, gaps and source retention. Test the actual viewer edits and an offline reopen. Record exact commands and outcomes. Unit/schema checks do not establish native GIS or ground-station imports, a completed real flight, a customer's success or visual quality.

© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in store/agents/drone-pilot/skills/pilot of autonomous-ai/openharness.

  • SKILL.md
  • references/project.md
  • scripts/seed-verdict.sh

Open the folder on GitHubat commit 50da5db

Compare with similar skills

Pilot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pilot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pilot this skillautonomous-ai/openharness1.1k—~1.3kAutomated safety check: PassMIT
Data Table Managern8n-io/n8n207k—~2.3kAutomated safety check: PassCustom licence
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences2742 repos~2.7kAutomated safety check: PassApache-2.0
Abuse Hunternexu-io/harness-engineering-guide663—~1.9kAutomated safety check: PassMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT
Sector Analysttradermonty/claude-trading-skills3k1 repos~2.3kAutomated safety check: PassMIT

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Questions about Pilot

What does Pilot do?

Create and revise field-survey plans from supplied GeoJSON boundaries, exclusions, camera geometry and capture requirements. Pilot is an agent skill from autonomous-ai/openharness. Create and revise field-survey plans from supplied GeoJSON boundaries, exclusions, camera geometry and capture requirements.

When should I use Pilot?

Pilot fits situations like: tasks that involve CSV and tabular files.

How do I install Pilot in Claude Code?

Run `npx skills add autonomous-ai/openharness --skill pilot -a claude-code`. Or copy the skill folder (store/agents/drone-pilot/skills/pilot in autonomous-ai/openharness) into .claude/skills/pilot in your project. Claude Code loads it when a task matches its description.

How do I install Pilot in Codex?

Run `npx skills add autonomous-ai/openharness --skill pilot -a codex`. Or copy the skill folder (store/agents/drone-pilot/skills/pilot in autonomous-ai/openharness) into .agents/skills/pilot in your project. Codex loads it when a task matches its description.

Can I use Pilot in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/openharness --skill pilot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pilot, .gemini/skills/pilot, .github/skills/pilot and .opencode/skills/pilot in your project.

What does Pilot need to run?

Going by SKILL.md and its folder, Pilot needs a shell for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: A Bash shell.

Does Pilot access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Pilot safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Pilot use?

Pilot is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pilot use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 927 tokens, read only when the agent opens those files.

What are the alternatives to Pilot?

Skills that share tags, products or a category with Pilot: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 663 stars) and Markit (shift-labs-ai/markit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pilot?

autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,149 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 8, 2026.

Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.