BD Heartbeat Memories
Heartbeat-Memories (HBM) - A fully local long-term memory system for OpenClaw. Features five memory banks (Goals/Experience/Emotions/Session/Version) + heartbeat recall mechanism. No API keys, no token consumption, 100% local operation.
As a process D 41/100 · 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.
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
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low Risky intent
intent-offensive-securityREADME.md:211Offensive-security / dual-use content (legitimate for authorised testing; review intended use)### ✅ No Privilege Escalation
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low Risky intent
intent-offensive-securitySKILL.md:225Offensive-security / dual-use content (legitimate for authorised testing; review intended use)### ✅ No Privilege Escalation
Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 41/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (Heartbeat Memories) differs from the folder (heartbeat-memories)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 51 steps
- 100Execution cost. Instruction body is 2090 tokens
- 100Progress reporting. Reports progress
- low 12 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
- -220 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 236: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 51 items
- +4Has examples (9 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: suspicious
This appears to be a local memory skill, but it stores and resurfaces personal conversation, goals, habits, and emotional history by default with broad triggers and limited consent controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026