SKILLEMALL.ai

AF hierarchical-agent-memory

Scalable memory architecture with hybrid topic-based working memory and optional time-based episodic recall. Provides structured MEMORY.md routing table, topic files for active projects, contact files, and configurable daily/weekly/monthly/yearly distillation layers. Use when the agent needs durable, organized long-term memory that survives compaction and scales across projects, contacts, and time horizons. For per-channel session isolation, install the companion skill agent-session-state. Upgrading from v2.x? Existing files are preserved — the agent will guide you through adding topic-based working memory alongside your current structure.

ClawHub Agent Skills author: Rich v3.1.0 MIT-0 5 files body ≈ 3 412 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 44/100 · Will not run — References files that are not bundled: topics/bluecat-mcp.md, topics/rpz-article.md, contacts/jane-doe.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: topics/bluecat-mcp.md, topics/rpz-article.md, contacts/jane-doe.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: topics/bluecat-mcp.md
  • warning missing-ref reference to a missing file: topics/rpz-article.md
  • warning missing-ref reference to a missing file: contacts/jane-doe.md

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: topics/bluecat-mcp.md, topics/rpz-article.md, contacts/jane-doe.md
  • 0Tools and files. 3 referenced file(s) missing: topics/bluecat-mcp.md, topics/rpz-article.md, contacts/jane-doe.md
  • 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
  • 70Failures and branches. 16 branches
  • 100Steps. 33 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3412 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +2Single-language instructions
  • +3Description length 647: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a documentation-only memory-organization skill whose persistent workspace changes are disclosed and aligned with its purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026