SKILLEMALL.ai

BF xuanzang-skill

玄奘.skill 当用户明确请求紧箍咒模式,或表现出沮丧、反复失败(2次及以上)、消极被动、抱怨质量、未核实即声称完成、想要放弃,或要求更努力/换种方法时触发。常见触发词:'try harder'、'figure it out'、'stop giving up'、'you keep failing'、'加油'、'别偷懒'、'你再试试'、'为什么还不行'、'你怎么又失败了'、'又错了'、'检查下'、'完善'、'审核'、'质量太差'、'换个方法'、'stop spinning'、'you broke it'、'/pua'、'紧箍咒模式'。对于正常的首次编程或信息查询请求,请勿触发。

ClawHub Agent Skills author: ebandao v1.0.2 MIT-0 34 files body ≈ 5 442 tokens Open the sourceclawhub.ai analyzed 2 d ago

玄奘.skill 当用户明确请求紧箍咒模式,或表现出沮丧、反复失败(2次及以上)、消极被动、抱怨质量、未核实即声称完成、想要放弃,或要求更努力/换种方法时触发。常见触发词:'try harder'、'figure it out'、'stop giving up'、'you keep…

As a process F 36/100 · Will not run — References files that are not bundled: references/methodology-{西游}.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: references/methodology-{西游}.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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: 34. 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 ≈ 5442 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/methodology-{西游}.md

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: references/methodology-{西游}.md
  • 0Tools and files. 1 referenced file(s) missing: references/methodology-{西游}.md
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 70Execution cost. Instruction body is 5442 tokens
  • 100Steps. 117 steps
  • 100Consistency. Name and required fields are in place
  • low 18 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)
  • +3Output format is not stated: the model decides each time
  • -2141 emoji in the instructions: noise for the model
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 292: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 117 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (14 of 28)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: suspicious
The skill advertises a motivational coaching mode but also directs persistent local state, shell-based verification, sub-agent orchestration, and cleanup actions that are too broad and under-disclosed for that purpose.
LLM: suspicious (high) · 15 Aug 2026