AC memory-manager
Agent memory management protocol. Activate for any memory read, write, or update operation. Defines six-category write spec, L0 sync rules, and dedup strategy.
As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice
GeneratorGitHubAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
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 · 0
✓ No critical or high findings
Files scanned: 6. 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") - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 58/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 9 mutating operations with no state check
- 40Consistency. Frontmatter name (memory-manager) differs from the folder (agent-memory-protocol)
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 85Steps. 35 steps, 1 vague phrases
- 100Execution cost. Instruction body is 2617 tokens
- 100Progress reporting. Reports progress
- 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)
- +1No license
- +2Single-language instructions
- +3Description length 159: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 35 items
- +3Output format is stated explicitly
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: suspicious
This is a coherent memory-management skill, but it gives agents broad automatic authority to persist user, project, and conversation data without clear consent, sensitivity limits, or deletion guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026