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adaptive-alert-insights

Evaluates whether Adaptive Alerting would help and reviews existing ThousandEyes Adaptive Alert Insights and their recommended alert-rule changes. Use when a request asks whether an Insight or recommendation exists, what it changes, or where to apply, dismiss, or reject it. Choosing between adaptive and static threshold modes explicitly uses baseline threshold review. Do not use for general alert fatigue, ordinary named-rule noise, or unrelated maintenance.

59

Quality

74%

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tessl review fix ./skills/adaptive-alert-insights/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

56%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body delivers unusually concrete behavioral guidance — verbatim response templates, categorical states, and explicit stop conditions — but pays for it with heavy redundancy: core constraints are repeated across four to five sections each, and everything is packed into one long file. Consolidating the policy sections and splitting the branch-specific templates into references would cut tokens substantially without losing clarity.

Suggestions

State each core constraint once: keep the UI hand-off boundary, the no-impact-figures rule, and the never-imply-applied rule in Guardrails/Response only, and delete their restatements from the Output Boundary, Prioritize-Only, Variability-Support, and Where To Apply sections.

Move the per-branch verbatim response templates (the 'Unverified —' canned answers and the Priority blockquote) into a references/response-templates.md file, leaving one-line summaries in SKILL.md so the main file carries only routing logic.

Merge the overlapping policy in Scope/Output Boundary and Response into a single 'Response rules' section; the current split forces the reader to reconcile the same rules stated twice with slightly different wording.

DimensionReasoningScore

Conciseness

The same constraints are restated many times: the UI hand-off boundary appears in Output Boundary, the Prioritize-Only quote, Where To Apply, Explain And Hand Off, and Response; the no-impact-figure rule ('Never calculate alert reduction...', 'never present an impact percentage...', 'do not break a tie with... noise-reduction estimate') and the Unverified-lead rule each recur 4-5 times across sections. This is noticeably verbose with duplicated sections, matching anchor 2 rather than anchor 3's 'some unnecessary explanation'.

2 / 5

Actionability

Guidance is highly concrete for an instruction-only skill: verbatim response templates ('Unverified — Adaptive Alert Insights are visible...', the Priority blockquote), categorical enums (confidence 'low, medium, or high'; states 'Actionable, Unverified, Uncertain, or Stale'), and explicit per-branch rules. It falls short of anchor 5 because the retrieval mechanics ('filter the alert-rule list', 'retrieve the individual rule recommendation') are never specified and the named-rule branch has no worked full-response example.

4 / 5

Workflow Clarity

Numbered workflow steps, mandatory stop conditions, and the Validate Applicability checklist ('the rule still exists and is in scope...') provide a clear sequence with most checkpoints present. It is not anchor 5 because execution order diverges from reading order ('this section overrides every later workflow') and policy is distributed across Scope, Guardrails, and Response sections that must be reconciled.

4 / 5

Progressive Disclosure

The body is a single ~280-line file with no bundle files; per-branch response templates and the guardrail catalog are inlined where separate reference files would serve better. Headers are clear (giving structure above anchor 2), but content that should be separate is inline, matching anchor 3.

3 / 5

Total

13

/

20

Passed

Description

82%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with an explicit 'Use when' clause, concrete trigger phrases, clear negative boundaries, and a highly distinct product niche. Its only weakness is a thin set of explicitly stated capability actions, which keeps specificity below the top anchor.

DimensionReasoningScore

Specificity

Explicitly stated actions are 'Evaluates whether Adaptive Alerting would help' and 'reviews existing ThousandEyes Adaptive Alert Insights and their recommended alert-rule changes' — two concrete verbs that clearly name the domain but fall short of the 'several specific actions' of anchor 4.

3 / 5

Completeness

It explicitly answers both questions: the 'what' ('Evaluates whether Adaptive Alerting would help and reviews existing... Insights and their recommended alert-rule changes') and a concrete 'Use when a request asks whether an Insight or recommendation exists, what it changes, or where to apply, dismiss, or reject it', plus negative triggers ('Do not use for general alert fatigue...').

5 / 5

Trigger Term Quality

Natural domain terms like 'Insight', 'recommendation', 'what it changes', and 'apply, dismiss, or reject' give good coverage of what users would say, but common synonyms (e.g., 'alert suggestion', 'alert tuning') are missing, so it stops short of anchor 5's comprehensive coverage.

4 / 5

Distinctiveness Conflict Risk

The 'ThousandEyes Adaptive Alert Insights' niche is highly distinct, and the explicit exclusion clause ('Do not use for general alert fatigue, ordinary named-rule noise, or unrelated maintenance') minimizes wrong-skill triggering.

5 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

thousandeyes/thousandeyes-ai-agents-toolkit

Path

skills/adaptive-alert-insights/SKILL.md

Reviewed

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