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BC reactive-resume

Reactive Resume 开源简历构建器开发指南。使用 TanStack Start (React 19 + Vite)、PostgreSQL + Drizzle ORM、ORPC (Type-safe RPC)、Better Auth。当用户需要：(1) 本地开发环境搭建，(2) 自定义模板开发，(3) 数据库迁移管理，(4) PDF 导出配置，(5) 自部署配置，(6) 功能扩展开发。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: pupuking723 v1.0.0 MIT-0 8 files body ≈ 1 505 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePostgreSQLDockerInfrastructuretype 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
B
78/100
safety, quality, tests
Safety 60%
78
Quality 40%
77
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

  • high Dangerous commands cmd-persistence references/deployment.md:312
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    # /etc/cron.daily/postgres-backup
Medium and low: 4
  • low Exfiltration read-dotenv references/deployment.md:148
    Reads a .env file
    cp .env.example .env
  • low Secrets in code secret-aws-key references/deployment.md:186
    AWS access key ID (placeholder value)
    STORAGE_ACCESS_KEY_ID=AKIA…PLE
    placeholder
  • low Exfiltration read-dotenv scripts/db-reset.py:53
    Reads a .env file
    with open('.env', 'r') as f:
  • low Exfiltration read-dotenv SKILL.md:47
    Reads a .env file
    cp .env.example .env

Files scanned: 8. 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")

Process rating: all ten parameters 51/100

  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1505 tokens

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 199: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
This is a mostly coherent Reactive Resume development skill, but it includes an unsafe destructive database reset helper and privileged Docker startup guidance that deserve review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026