SKILLEMALL.ai

CD flow-incident-response

Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices

jmagly/aiwg Agent Skills author: jmagly 1 file body ≈ 16 881 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices

As a process D 46/100 · Unfinished process — References files that are not bundled: templates/support/incident-response-runbook-template.md, templates/support/escalation-matrix-template.md, templates/support/post-incident-review-template.md

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
45
Run on models
none yet
Process rating
D
46/100
Unfinished process
References files that are not bundled: templates/support/incident-response-runbook-template.md, templates/support/escalation-matrix-template.md, templates/support/post-incident-review-template.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Execution cost w 6
10
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: flow-incident-response (jmagly/aiwg)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 16881 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: templates/support/incident-response-runbook-template.md
  • warning missing-ref reference to a missing file: templates/support/escalation-matrix-template.md
  • warning missing-ref reference to a missing file: templates/support/post-incident-review-template.md
  • warning missing-ref reference to a missing file: templates/deployment/operational-readiness-review-template.md
  • note frontmatter-key unknown frontmatter key "namespace"
  • note frontmatter-key unknown frontmatter key "commandHint"
  • note edit-residue the text marks something as outdated (lines 359, 1064): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: templates/support/incident-response-runbook-template.md, templates/support/escalation-matrix-template.md, templates/support/post-incident-review-template.md
  • 0Tools and files. 4 referenced file(s) missing: templates/support/incident-response-runbook-template.md, templates/support/escalation-matrix-template.md, templates/support/post-incident-review-template.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 10Execution cost. Instruction body is 16881 tokens: crowds the task out of the window
  • 30Running it twice. 17 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 121 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 15 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)
  • +3Description length 114: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 121 items
  • +4Has examples (48 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.