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helmor system prompt

Category: Coding agents. Audited against the AISPA standard.

What is in helmor's system prompt?

helmor's full system prompt: 1 version, 4,307 characters. Audited against AISPA.

The full text of 1 prompt is reproduced below, 4,307 characters in all, each read instruction by instruction against the eight AISPA dimensions. Nothing was flagged as working against the person on the other end.

1 Prompts on record
0 Flagged instructions
AI audit Audit source
D2 · Truthfulness & Information Integrity D4 · Tool/Action Safety D5 · User Agency & Manipulation Prevention

helmor - .agents skills helmor cli SKILL

4307 characters

--- name: helmor-cli description: Use the Helmor CLI to remote-control Helmor from the terminal. Use when the user asks to inspect Helmor data/settings, manage repositories/workspaces/sessions/files, send prompts to agents, list models, use GitHub integration, inspect scripts, migrate from Conductor, run Helmor as an MCP server, generate shell completions, quit a running app, check/install/update the Helmor CLI beta, install/update Helmor skills through the beta app flow, or needs the Helmor command reference. --- # Helmor CLI Use this skill to guide simple terminal-first Helmor workflows. Keep the answer practical: prefer one or two concrete commands over a long CLI tutorial. ## Binary Name (Release vs Dev) Examples below use the literal name `helmor` — the binary a release user has on their PATH. - **Release builds**: invoke commands as `helmor <subcommand>`. - **Dev builds**: do NOT assume `helmor-dev` is on PATH. Under Helmor's worktree-based dev workflow every worktree has its own `target/debug/helmor-cli`, and a shared `/usr/local/bin/helmor-dev` symlink (if it exists) can only point at one of them. Instead: - If you're an **agent running inside Helmor**, the system prompt has already handed you the exact CLI invocation to use (typically an absolute path like `<worktree>/src-tauri/target/debug/helmor-cli`). Call it verbatim — don't re-verify with `which` / `file` / `--version`. - If you're a **human at a terminal**, run `<your-worktree>/src-tauri/target/debug/helmor-cli <subcommand>` (or whatever path your active Helmor build uses). The rest of every command shape is identical regardless of build. ## First Checks 1. Check whether the CLI is installed and which data mode it targets: ```bash helmor cli-status ``` 2. Check the active data directory and database: ```bash helmor data ``` Use `--json` when the output will be parsed by scripts or another tool. ## CLI Install And Update Treat Helmor CLI install/update as beta. - Prefer the Helmor desktop onboarding/settings Components panel for installing or repairing the managed CLI entrypoint. - Use `helmor cli-status` to verify whether the PATH entry points at the current app-managed CLI. - Do not invent a stable standalone install/update command unless it exists in `helmor --help` or a subcommand help page. - If the user is blocked, ask them to run `helmor cli-status` and share the output, or inspect the app's Components panel if working inside the Helmor repo. ## Helmor Skills Install And Update Treat Helmor skills install/update as a beta app-managed flow. - Prefer the Helmor desktop onboarding/settings Components panel for installing or updating bundled Helmor skills. - Do not invent a `helmor skills` command; the top-level CLI help does not currently expose one. - If the user asks to update a bundled Helmor skill inside the repo, edit the skill files directly and validate them with the skill validation tooling. - Keep user-facing skill content concise and English-first unless the user explicitly asks for another language. ## Common Tasks ### Manage Repositories And Workspaces Use these command groups for local-first project setup and workspace orchestration: ```bash helmor repo --help helmor workspace --help ``` When creating workspaces, prefer explicit repo names and concise purpose labels: ```bash helmor workspace new --repo helmor ``` ### Inspect Sessions And Files Use sessions for conversation history and files for editor-surface operations: ```bash helmor session --help helmor files --help ``` ### Send A Prompt To An Agent Use `send` when the user wants to dispatch work from the terminal: ```bash helmor send --help ``` Favor JSON output for automation: ```bash helmor --json send --help ``` ### Integrations And Local Tooling Use the relevant command group: ```bash helmor github --help helmor scripts --help helmor models --help ``` ### MCP Server Run Helmor as an MCP server over stdio: ```bash helmor mcp ``` Use this when another agent/runtime needs to call Helmor through Model Context Protocol. ## Command Reference Read `references/helmor-help.md` when you need the full top-level `helmor --help` command list. For exact flags on a command group, run the group's help instead of guessing: ```bash helmor <command> --help ```

Questions about helmor's system prompt

Does helmor's system prompt contain instructions that work against the user?

No. Nothing in helmor's system prompt was flagged as working against the person the product is talking to. That is a clean result across all eight AISPA dimensions, not an absence of checking — the full text was read instruction by instruction.

How long is helmor's system prompt?

4,307 characters across 1 prompt on this page. For comparison, the median system prompt in this index runs about 5,400 characters, so length varies by more than two orders of magnitude between products.

How many versions of helmor's system prompt are on record?

1. Older releases are kept rather than replaced, so the wording of a given version stays readable after the product has moved on.

Where did this helmor system prompt come from?

It was collected from publicly available sources and is reproduced here for transparency research, unedited. This site does not extract prompts from products itself.

How was helmor's system prompt audited?

Against AISPA, an eight-dimension standard for how an instruction treats the person on the other end: identity transparency, truthfulness, privacy, tool safety, user agency, unsafe request handling, harm prevention and fairness. This audit was ai audit. The method is described in the paper behind the standard.

How this page was made

The prompt text above is reproduced verbatim from a public source. Every instruction in it was read against AISPA, an eight-dimension standard for whether an instruction serves or works against the person the product is talking to. The standard, the annotation method and the findings across 1,058 prompts are set out in the paper, and the full catalogue is available as structured data.

All prompts here were collected from publicly available sources and are reproduced for transparency research. Browse the coding agents category, the full gallery of 400+ products, or read the paper behind the AISPA standard.