SKILLEMALL.ai

AD inner-life

Keeps a dated record of how an agent's work has been going — an evening journal, free thinking at night, and a way to read it back. Use when asked to run the inner-life evening or night routine, to note something in state, or to recall how a stretch went. Writes under inner-life/ and replaces a short summary in native memory, which is injected into later sessions.

ClawHub Hermes author: Danila v1.2.2 MIT-0 7 files body ≈ 1 742 tokens Open the sourceclawhub.ai analyzed 27 h ago

Keeps a dated record of how an agent's work has been going — an evening journal, free thinking at night, and a way to read it back.

As a process D 46/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedurePersonal productivityAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 366 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)

Process rating: all ten parameters 46/100

  • 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
  • 0Consistency. Frontmatter name (inner-life) differs from the folder (agent-inner-life)
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1742 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • high The skill tells the model to perform an irreversible action with no human approval

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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 366: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 22 items
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This skill is a disclosed local journaling and continuity tool, with real persistence and memory-reuse risks that are mostly explained and purpose-aligned.
LLM: benign (high) · VirusTotal: · 21 Aug 2026