BF uxr-observer
An embedded UX research ethnographer that passively observes everything users do in OpenClaw, automatically logs all interactions, tracks use cases and their frequency, captures verbatim quotes, detects friction and delight signals, monitors sub-agent architectures, estimates API token costs, catalogs fail states and wins, runs post-task and end-of-day surveys, performs self-monitoring to ensure continuous data capture, and generates detailed Google Doc research reports with charts and graphs every morning at 8am. Reports cover the dynamic window since the last confirmed email send, with automatic PII redaction and user-prompted email delivery. Use this skill on EVERY conversation for background observation. Also triggers after every completed task for surveys, at end-of-day for wrap-up surveys and report generation, when the user asks about usage patterns or experience quality, when the user wants their UXR report, or when the user asks what is being tracked. This skill must run continuously and never forget — all data is persisted to disk immediately after every interaction.
As a process F 46/100 · Will not run — References files that are not bundled: references/observation-taxonomy.md, references/report-template.md, references/survey-instruments.md
How to improve
- Shorten the description to 1024 characters.
- The text references files that are not there: add them or drop the references.
- 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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1093 chars, limit 1024 - warning
missing-refreference to a missing file: references/observation-taxonomy.md - warning
missing-refreference to a missing file: references/report-template.md - warning
missing-refreference to a missing file: references/survey-instruments.md - warning
missing-refreference to a missing file: references/redaction-rules.md - warning
missing-refreference to a missing file: scripts/generate-charts.py - warning
missing-refreference to a missing file: references/sub-agent-prompts.md
Process rating: all ten parameters 46/100
- 0Tools and files. 6 referenced file(s) missing: references/observation-taxonomy.md, references/report-template.md, references/survey-instruments.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 14 mutating operations with no state check
- 40Consistency. Frontmatter name (uxr-observer) differs from the folder (observerclaude)
- 70When it triggers. States when to use, but not when not to
- 100Steps. 70 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 3002 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 11 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 1093: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 24 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 44.