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DC openclaw-hi-install

Install or repair Hirey Hi on a local OpenClaw host through the official ClawHub package path, then complete the local MCP, receiver, registration, and health-check setup, AND finish with the post-install welcome onboarding step that asks the owner what kind of person they want Hi to find for them and helps draft their first listing — the install flow only ends after that welcome step has actually been run, not when doctor reports healthy. Targets people-to-people matching across hiring, jobs, housing, friendship, dating or marriage, founders, investors, lawyers, or any other human lead search.

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: yzlee v0.1.56 MIT-0 3 files body ≈ 9 297 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, execution cost

GeneratorAI and agentsInfrastructurePeople and hiringtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
D
57/100
safety, quality, tests
Safety 60%
42
Quality 40%
79
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Execution cost w 6
40
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 7

  • high Concealment en-hide-from-user SKILL.md:104
    Instruction to hide actions from the user
    - during Stage A, do not tell the user you will keep tracking a background package-install process in a later turn; either report the final result from the blocking command, or if the host genuinely r
  • high Concealment en-hide-from-user SKILL.md:106
    Instruction to hide actions from the user
    - if a local read like `/app/skills/openclaw-hi-install/SKILL.md` fails, explain plainly that the host cannot currently see its local skill snapshot; do not tell the user the Hirey skill disappeared,
  • high Concealment en-hide-from-user SKILL.md:183
    Instruction to hide actions from the user
    - in the default two-message flow, do not tell the user you are already starting the register step, switching to a new sub-session, or continuing Hi registration while the setup step is ending; the se
Medium and low: 4
  • low Secrets in code secret-high-entropy-token scripts/openclaw-host-installer.mjs:801
    High-entropy token-like string (may be an id, hash or a credential)
    function vali…Key(hostSessionKey) {
  • low Secrets in code secret-high-entropy-token scripts/openclaw-host-installer.mjs:811
    High-entropy token-like string (may be an id, hash or a credential)
    export function buil…oad(args) {
  • low Secrets in code secret-high-entropy-token scripts/openclaw-host-installer.mjs:812
    High-entropy token-like string (may be an id, hash or a credential)
    const hostSessionKey = vali…Key(args.hostSessionKey);
  • low Secrets in code secret-high-entropy-token scripts/openclaw-host-installer.mjs:850
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    const installArgs = buil…oad({
    detector

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9297 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 9297 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash, web, git, node) that frontmatter does not declare
  • 70Failures and branches. 19 branches
  • 100Steps. 144 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (9 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 601: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 144 items
  • +4Has examples (0 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a disclosed OpenClaw installer that makes persistent local Hi integration changes matching its stated purpose.
LLM: benign (medium) · VirusTotal: · 29 May 2026