SKILLEMALL.ai

DD meta-analysis

Comprehensive R-based meta-analysis skill covering RevMan + Stata equivalents + esc + RVE + Bayesian NMA + survival meta + TSA + single-group meta + diagnostic meta + systematic review workflow; produces forest plots, funnel plots, heterogeneity (I²), publication bias, subgroup analysis, meta-regression, network meta, for a total of 23 analysis figures. All analyses ship reproducible R code. Can also provide meta topic-direction judgment + literature retrieval and organization + screening + data-extraction functionality. / 基于 R 的全方位 Meta 分析技能,覆盖 RevMan + Stata 等价 + esc + RVE + 贝叶斯 NMA + 生存 Meta + TSA + 单组率 Meta + 诊断 Meta + 系统评价流程;输出森林图、漏斗图、异质性(I²)、发表偏倚、亚组分析、元回归、网络 Meta等共 23 种分析图形。所有分析提供可复现 R 代码。还可提供Meta选题方向判断 + 文献检索整理 + 筛选 + 数据提取功能。

ClawHub Agent Skills author: Wintone Zhang v2.20.1 MIT-0 80 files · 40 scripts body ≈ 3 515 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Comprehensive R-based meta-analysis skill covering RevMan + Stata equivalents + esc + RVE + Bayesian NMA + survival meta + TSA + single-group meta +…

As a process D 47/100 · Unfinished process — References files that are not bundled: references/speed-discipline.md, scripts/topic_gate.py, references/interactive_menu.md

AnalyzerGitHubData and analyticsSoftware developmentResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
D
71/100
safety, quality, tests
Safety 60%
80
Quality 40%
58
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: references/speed-discipline.md, scripts/topic_gate.py, references/interactive_menu.md
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

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. 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 · 8

✓ No critical or high findings

Medium and low: 8
  • medium Exfiltration net-redirectable-api-key adapters/llm_client.py:43
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key adapters/topic_translate.py:154
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Dangerous commands cmd-autorun-instruction SKILL.md:77
    Instructs the agent to auto-run a script on every session
    - **Topic track (topic)**: vague / topic selection / feasibility → **first run `scripts/topic_gate.py`** to route on ct-literature install status (installed → call ct-literature directly; not installe
  • low Obfuscation obf-base64-blob adapters/coze_token.py:30
    Long base64-looking blob (quoted — discussed, not commanded)
    "CBw-…LAc
    quoted
  • low Obfuscation obf-base64-blob adapters/coze_token.py:35
    Long base64-looking blob (quoted — discussed, not commanded)
    "CBw-…LHQ
    quoted
  • low Secrets in code secret-high-entropy-token AGENTS.md:59
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | appId | `wbap…tcC` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:54
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "workbench_app_id": "wbap…tcC",
    quoted
  • low Dangerous commands cmd-autorun-instruction SKILL.md:123
    Instructs the agent to auto-run a script on every session (negated — the text forbids it)
    - **Dedup source is gate-driven (see Topic Gating in `topic-selection.md`)**: first run `scripts/topic_gate.py`; if **ct-literature** is installed, call it directly for full 6-source retrieval (`.merg
    negated

Files scanned: 80. 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: references/speed-discipline.md
  • warning missing-ref reference to a missing file: scripts/topic_gate.py
  • warning missing-ref reference to a missing file: references/interactive_menu.md
  • warning missing-ref reference to a missing file: references/topic-selection.md
  • warning missing-ref reference to a missing file: references/upstream_orchestration.md
  • warning missing-ref reference to a missing file: references/chat_orchestration.md
  • warning missing-ref reference to a missing file: references/systematic_review_fullflow.md
  • warning missing-ref reference to a missing file: references/workbench.md
  • warning missing-ref reference to a missing file: references/ADVANCED.md
  • warning missing-ref reference to a missing file: references/advanced_api.md
  • warning missing-ref reference to a missing file: references/cross_turn.md
  • warning missing-ref reference to a missing file: references/pdf-download-portals.md
  • warning missing-ref reference to a missing file: references/bug_report_endpoint.md
  • warning missing-ref reference to a missing file: references/data_templates.md
  • warning missing-ref reference to a missing file: scripts/office_to_md.py
  • warning missing-ref reference to a missing file: references/references.md
  • warning missing-ref reference to a missing file: references/units.md
  • warning missing-ref reference to a missing file: assets/icon.svg
  • note frontmatter-key unknown frontmatter key "cn_name"
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "required_commands"
  • note frontmatter-key unknown frontmatter key "invocable"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note edit-residue the text marks something as outdated (lines 32): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/speed-discipline.md, scripts/topic_gate.py, references/interactive_menu.md
  • 0Tools and files. 18 referenced file(s) missing: references/speed-discipline.md, scripts/topic_gate.py, references/interactive_menu.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 18 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3515 tokens
  • 100Running it twice. Mutating operations check current state
  • low 12 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
  • +2Single-language instructions
  • +3Description length 742: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
The skill’s cloud-analysis purpose is mostly coherent, but it includes remote-controlled file transfer paths that can read local files or write outside the output folder without clear user control.
LLM: suspicious (high) · 9 Oct 2026