SKILLEMALL.ai
GitHub ↗ RU Sign in

CF tongcheng-cheap-flights

同程特价机票查询与价格监控技能。通过第三方旅行平台API查询机票价格，支持自然语言解析、价格监控、降价推送（飞书）。当用户需要查询机票价格、监控特定航班价格波动、设置价格提醒时使用此技能。

ClawHub Agent Skills author: qi812560784 v1.0.3 MIT-0 20 files · 10 scripts body ≈ 849 tokens Open the sourceclawhub.ai↗ analyzed 9 d ago

同程特价机票查询与价格监控技能。通过第三方旅行平台API查询机票价格，支持自然语言解析、价格监控、降价推送（飞书）。当用户需要查询机票价格、监控特定航班价格波动、设置价格提醒时使用此技能。

As a process F 33/100 · No process to follow — References files that are not bundled: scripts/query_prices.py

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: scripts/query_prices.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 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: 20. 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 missing-ref reference to a missing file: scripts/query_prices.py

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/query_prices.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/query_prices.py
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (tongcheng-cheap-flights) differs from the folder (tc-cheapflights)
  • 100Steps. 46 steps
  • 100Execution cost. Instruction body is 849 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 94: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -32 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill is not clearly malicious, but it needs review because it can return fabricated flight prices as usable results, overstates monitoring behavior, and installs persistent local skill files with limited safeguards.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026