SKILLEMALL.ai

CC Hermes

Hermes sidecar observability: health, failure triage, cron, guard blocks, logs, traces. USE WHEN hermes, sidecar, hermes failed, hermes task failed, iMessage task failed, message task failed, why did hermes fail, hermes not calling LifeOS, hermes status, hermes health, trace hermes, hermes session, hermes logs, hermes cron, guard blocks, triage hermes, sidecar broken, update hermes, upgrade hermes, is hermes up to date, keep hermes updated. NOT FOR mounting (LIFEOS/HERMES/Mount.ts), LifeOS services (Services.ts), messaging (the communication skill).

The skillemall take

Promises Hermes sidecar diagnostics: status, logs, traces, cron jobs, guard blocks. Use when the sidecar crashes or fails to call LifeOS. Six files, 1624 tokens, no critical errors. Code quality scores 73%, but execution process only 55%—logic is there, coverage is not. No model runs, sandbox untested.

Works for quick sidecar failure triage. Won't replace manual investigation for root causes. Install if Hermes already crashes regularly in your stack; skip if it runs clean.

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler 6 files body ≈ 1 624 tokens Open the sourcegithub.com↗ analyzed 5 h ago

Hermes sidecar observability: health, failure triage, cron, guard blocks, logs, traces.

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions

ProcedureInfrastructureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    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 frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 9, column 14: description: Hermes sidecar observability: health, failure triage, cron, guard … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 85Steps. 12 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1624 tokens
    • 100Running it twice. No mutating operations
    • 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 555: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 12 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.