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CF write-paper

Full-pipeline medical/scientific paper writing. 8-phase IMRAD workflow from outline to submission-ready manuscript. Supports original articles, case reports, case series, meta-analyses, AI validation studies, animal studies, and technical notes. Do NOT trigger for self-checking (use self-review instead).

Aperivue/medsci-skills Agent Skills author: Aperivue MIT 80 files body ≈ 12 256 tokens Open the sourcegithub.com↗ analyzed 33 h ago

Full-pipeline medical/scientific paper writing.

As a process F 62/100 · Will not run — References files that are not bundled: analysis/figures/filename.png, references/phase0_init_detail.md, references/section_guides/step7_1_classical_qc.md

ProcedureInfrastructureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
62/100
Will not run
References files that are not bundled: analysis/figures/filename.png, references/phase0_init_detail.md, references/section_guides/step7_1_classical_qc.md
Tools and files w 18
0
Running it twice w 4
30
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 12256 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: analysis/figures/filename.png
  • warning missing-ref reference to a missing file: references/phase0_init_detail.md
  • warning missing-ref reference to a missing file: references/section_guides/step7_1_classical_qc.md
  • warning missing-ref reference to a missing file: references/section_guides/step7_4a_audit_recovery.md
  • warning missing-ref reference to a missing file: references/phase7_polish_detail.md
  • warning missing-ref reference to a missing file: references/phase7_integrity_audits.md
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 62/100

Will not run. References files that are not bundled: analysis/figures/filename.png, references/phase0_init_detail.md, references/section_guides/step7_1_classical_qc.md
  • 0Tools and files. 6 referenced file(s) missing: analysis/figures/filename.png, references/phase0_init_detail.md, references/section_guides/step7_1_classical_qc.md
  • 30Running it twice. 8 mutating operations with no state check
  • 40Execution cost. Instruction body is 12256 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 204 steps, 3 vague phrases
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 305: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 204 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.