BF beautsgo-booking
Book appointments at 1300+ top-rated Korean dermatology & plastic surgery clinics in Seoul, Busan, Jeju directly from your AI assistant. Supports laser, injection, Botox, skin boosters, double eyelid, rhinoplasty, anti-aging, acne treatment in Chinese/English/Japanese/Thai. Keywords: Korea medical tourism, Seoul skin clinic, Korean dermatology, plastic surgery Korea, 韩国医美预约, 韩国皮肤科, 韩国整形外科, 首尔美容院, 医疗旅游韩国, 韩国整容, 水光针预约, 肉毒素预约, 韩式双眼皮. 热门医院: 江南 — 梅宗德/Barog/JD皮肤科/hev赫熙/鹿美人/secret希瑞特/金泰拉/伊美芝/爱妮/美LAB/Oganacell奥嘉娜/reberry/Shinebom/ELEV/Pind/GD医院/ID医院/陶瓷医院; 明洞 — UMI优美/reberry/丹雅/lijin/可丽/daybeau/奥缇娜/本思; 弘大 — 罗薇lovae/凯特kate/丽诺芙/思丽本/可丽/本思/桔艺菲/mind; 东大门 — doctors/夏恩/德希尔; 清潭 — 伊瓷美/minit/jionu/ruby抗衰/antian; 圣水 — serene/melting/iris艾瑞诗/newlline; 光化门 — Heritique赫瑞缇/赫利缇可; 舍堂 — Essential艾森秀; 釜山 — 德佛斯特/JRYN/米米/丽诺博renovo/Star/奥纳比/本思/genius; 济州 — NowMedi/with皮肤科/4ever/miwoo整形/Wyne; 连锁 — 本思/daybeau/朵戈芙蒂/doctors/丽芬聚/Toxnfill/Barog/德希尔/reberry/cnp/you&i/gu/dayone/VSLINE/Kbeauty.
As a process F 35/100 · Will not run — References files that are not bundled: templates/booking.tpl
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 6
✓ No critical or high findings
Medium and low: 6
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:277High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"integrity": "sha5…ywo+qwL+oL8H…C1U+vRfLQDvw==",
quoted -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:293High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha512-Yqfm+XDx0+Prh3…1yC+JWZ2…IL7+vK+Clp7…D7g==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:306High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…xZl+RoGR…fbT/ZgrF…0EA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:319High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…3bJ+V0If…IXN+CL65…a4w==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:335High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"integrity": "sha5…H47+FFon…OsV/4+RRsz…0ig==",
quoted -
low Dangerous commands
cmd-background-processscripts/sync-to-openclaw.sh:27Starts a background / autostarted processnohup openclaw gateway > /tmp/openclaw-gateway.log 2>&1 &
Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: templates/booking.tpl - note
frontmatter-keyunknown frontmatter key "title" - note
frontmatter-keyunknown frontmatter key "entry" - note
frontmatter-keyunknown frontmatter key "permissions" - note
frontmatter-keyunknown frontmatter key "privacy" - note
frontmatter-keyunknown frontmatter key "runtime"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: templates/booking.tpl
- 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
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 910 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (8 tags): a typed call is more reliable
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 969: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -37 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.