BD heartflow
AI 认知与自愈引擎。存在感知、真善美评分、三层记忆、 Q-learning 自愈、梦境整合、反事实推理、身份一致性保持。 不是 persona，不是 prompt 模板，是可验证的能力层。
AI 认知与自愈引擎。存在感知、真善美评分、三层记忆、 Q-learning 自愈、梦境整合、反事实推理、身份一致性保持。 不是 persona，不是 prompt 模板，是可验证的能力层。
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Dangerous commands
cmd-background-processbin/heartflow-start.sh:17Starts a background / autostarted processnohup node "$DAEMON_JS" >/dev/null 2>&1 &
Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 7556 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "title"
Process rating: all ten parameters 44/100
- 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. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (heartflow) differs from the folder (claude-heartflow-skill)
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 70Execution cost. Instruction body is 7556 tokens
- 100Steps. 85 steps
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 26 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 95: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -232 emoji in the instructions: noise for the model
- -465 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +4Structure: 70 headings
- +3Step-by-step instructions: 85 items
- +4Has examples (26 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.
External checks
ClawHub: suspicious
This skill is not proven malicious, but it asks for broad, persistent control while its safety claims understate background processes, local storage, and code-execution capability.
LLM: suspicious (high) · VirusTotal: · 12 Jun 2026