BC insight-claw-hermes
Download, configure, run, verify, and troubleshoot Insight Claw, an A-share self-selected stock analysis pipeline.
Download, configure, run, verify, and troubleshoot Insight Claw, an A-share self-selected stock analysis pipeline.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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.
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.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- 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.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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 · 3
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high Broad scope
meta-requests-env-secretSKILL.md:1Skill asks the runtime to inject credential env vars into its sandbox: AIHUBMIX_KEY, OPENAI_API_KEY (high-value: OPENAI_API_KEY) — verify each one is needed for the stated purposerequired_environment_variables: AIHUBMIX_KEY, OPENAI_API_KEY
Medium and low: 2
-
low Exfiltration
read-dotenvreferences/quickstart.md:39Reads a .env file[ -f .env ] || cp .env.example .env
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low Exfiltration
read-dotenvSKILL.md:133Reads a .env file (quoted — discussed, not commanded)6. Before the first real analysis run, verify that a usable LLM credential is available through Hermes secret handling, the user's shell environment, or a user-approved local `.env` merge. If `.env` i
quoted
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 114 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - note
frontmatter-keyunknown frontmatter key "required_environment_variables"
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, git, python) that frontmatter does not declare
- 60Consistency. The Hermes dialect needs category and tags
- 100Steps. 45 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 2973 tokens
- 100Running it twice. Mutating operations check current state
- low 10 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)
- +3Description length 114: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.