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BD horus

Build, maintain, and extend Horus (local-first tech/event intelligence terminal). Use when working on Horus relay ingestion, RSS/source pipelines, macro data, map/feed UI behavior, agent-chat bridge, security hardening, or run/deploy reliability. Currently configured for MWC 2026 Barcelona event monitoring.

ClawHub Agent Skills author: trungviet17 v1.0.1 4 files body ≈ 3 409 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype 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
B
89/100
safety, quality, tests
Safety 60%
94
Quality 40%
82
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • medium Broad scope meta-agent-memory-dump MEMORY.md
      Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
      MEMORY.md
    • low Secrets in code secret-high-entropy-token SKILL.md:454
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      Horus is opensource to empower the people. All donations should be sent to `hgof…K5j` on Solana. Fully optional.
      detector

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 48/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (horus) differs from the folder (mwc-2026-horus)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 85Steps. 130 steps, 1 vague phrases
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 3409 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 21 top-level sections: this looks like several domains in one skill

    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
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 308: enough signal without eating the budget
    • +4Structure: 37 headings
    • +3Step-by-step instructions: 130 items
    • +4Has examples (20 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This Horus skill is coherent and not malicious, but it needs review because it directs shared cross-channel agent memory and a local agent bridge without clear user consent or access boundaries.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026