BD human-like-memory
模仿人类记忆机制的智能上下文管理系统，支持向量化检索、智能摘要、三层存储（HOT/WARM/COLD）、按需注入
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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:27High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-j+gKEx…ahh+s1F2HZ+wAce…RkU++ZWQr…uoQ==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:73High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…rvP+yUUf…4tH/iSSo…tEA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:120High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Wwy+ghLE…vfU/YnxW…fdg==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:148High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…DYr+NSUK…Itc/irNR…37y+AMujNyNtG+1Rggw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:190High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-Y/+iQ49…n6w/AVxI/2+BRrp…27c+pYjY…0rw==",
detector
Files scanned: 24. 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")
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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (human-like-memory) differs from the folder (human-like-memory-cn)
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 5 steps
- 100Execution cost. Instruction body is 219 tokens
- 100Running it twice. No mutating operations
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 56: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 5 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.
External checks
ClawHub: suspicious
This is a real local memory skill, but it can automatically store and later reuse personal conversation details with weak consent and retention boundaries.
LLM: suspicious (high) · VirusTotal: · 29 May 2026