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ccf-humanization — Claude Code skill: what it does, how to install

A required first pass before every CCFA skill: it strips defensive hedging out of research prose and keeps the evidence, numbers and honest uncertainty.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add mikubaka88/CCFA-Skills --skill ccf-humanization -a claude-code
Open on GitHub

What ccf-humanization does

It runs before any other CCFA skill: planning, source retrieval, review, experiments, layout. Its job is to take the self-defence out of research writing — invented reviewer objections, apologies about novelty, stacked caveats, the obligatory limitation paragraph at the end. What goes in instead: problem, insight, mechanism, evidence, implication.

Four modes cover the work. family-preflight is the baseline pass, manuscript-humanization and experiment-humanization apply the same standard to prose and to reported experiment descriptions, and warning-only flags an unresolved scientific decision while leaving the dependent artifact alone. Sentence-level policy and bilingual repair examples sit in references/humanization-policy.md; task files default to ccfa-workfiles/<purpose>/<artifact-id>/ in UTF-8.

Rigor is the constraint, not a slogan. suggests stays suggests, negative results and comparison limits survive the edit, and single words like only or may are not treated as hedging. The skill is the family preflight, so it activates the sibling ccf-common skill and pulls handoff and artifact contracts from the shared references/ folder. That makes the whole repository the thing to install, not one file. Check the layout before the first run.

What it helps with

  • strip a paragraph of defence against an imagined reviewer
  • collapse repeated caveats into one sentence about scope
  • keep a negative result while rewriting the surrounding wording
  • check that an experiment description still carries its ablations and full configuration
  • flag an open scientific decision without editing the artifact that depends on it

Example prompts for the agent

  • Run `ccf-humanization` over the method section: drop the apologies and repeats, leave the numbers and caveats.
  • Rewrite the conclusion with `manuscript-humanization`, no mandatory limitation paragraph at the end.
  • Audit the ablation table in `experiment-humanization` mode and keep the full configurations.

How to install ccf-humanization

1Skills CLI (Vercel)

npx skills add mikubaka88/CCFA-Skills --skill ccf-humanization -a claude-code

2Manually: put the files in place

~/.claude/skills/ccf-humanization/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/ccf-humanization/

From the same set2

The whole set →

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Questions about ccf-humanization

How do I install ccf-humanization in Claude Code?

Run npx skills add mikubaka88/CCFA-Skills --skill ccf-humanization -a claude-code. The skill file lands at ~/.claude/skills/ccf-humanization/SKILL.md.

What does ccf-humanization do?

It removes defensive framing from research and technical prose and keeps the argument itself: problem, mechanism, evidence, conclusion. It is the preflight that runs before the other skills in the CCFA family.

Does it change what my paper claims?

No. Uncertainty, assumptions, negative results, citations, equations and numbers stay as they are, and suggests is not upgraded to proves. Only the framing around them gets cut.

Source text

SKILL.md · MIT
---
name: ccf-humanization
description: "Required first preflight before every CCFA skill, including research, review, retrieval, experiments, visuals, and maintenance. Keep reasoning and communication direct, remove empty defensive framing, and preserve evidence and uncertainty. Also use for 去防御性 and 论文人性化. Apply prose edits only within the authorized task; specialist skills retain ownership."
metadata:
  ccf_skill_controls:
    handoff_question_mode: partial
    respect_session_denylists: true
    protect_idea_scope_in_writing: true
    private_material_safety: moderate
    shared_controls: ../ccf-common/references/
---

# CCF Humanization

## Family File Contract

Before file work, reuse canonical paths and one task/artifact working directory; default to project-root `ccfa-workfiles/<purpose>/<artifact-id>/`. Update in place, preserve inputs, and use UTF-8 with Chinese-text checks. Apply [artifact-contracts.md](../ccf-common/references/artifact-contracts.md) for naming, ownership, and task-created cleanup; handoffs inherit these paths.

## Collaboration Contract

This is the first required family preflight. Apply the baseline below, then activate [ccf-common](../ccf-common/SKILL.md) before specialist work. The two preflights bootstrap once without recursively re-entering each other; reuse applicable rules across contributors.

Integrate necessary specialist contributions under one owner; reuse valid prerequisites and verify affected results. Follow the [cooperation routes](../ccf-common/references/routing.md) without duplicate reports.

## Invocation Controls

**CCFA Handoff Mode: PARTIAL (Recommended).** Follow `metadata.ccf_skill_controls.handoff_question_mode`, `../ccf-common/references/handoff-modes.md`, and `../ccf-common/references/task-modes.md`.

Activate this first for every CCFA task and contributor, including planning, retrieval, review, auditing, rendering, scaffolding, and maintenance. Apply the family baseline below before `ccf-common` and specialist execution. Reuse an already loaded, applicable baseline at handoffs; refresh changed or lost rules. Prose editing and experiment checks depend on the actual task, but baseline activation is universal. Specialist skills retain ownership and explicit user/host constraints still apply.

## Family Baseline

Read and apply this entry's baseline before specialist work. Communicate the concrete task, evidence, and decisions directly; avoid imagined objections, empty assurances, repetitive warnings, and unnecessary process narration. Preserve real risks, critical review findings, uncertainty, scientific facts, source quotations, and mandatory checks. Do not turn critical assessment into praise or change scores to sound less defensive. Review-only tasks diagnose without rewriting; non-prose tasks apply these rules without inventing a prose-edit pass. Enable only relevant detailed modes below. This preflight creates no report, warning file, or separate agent by default.

Use existing authorization and evidence. Ask only about an unresolved decision and add work when it can resolve a material gap. Continue unaffected work; omit routine warnings and self-attestation. A checklist alone does not justify adding experiments or reducing the user's research objective.

Across prose, ideas, and experiment plans, name the object, operation, relationship, and intended or observed result instead of praising a route as `可验证`, `可实现`, `rigorous`, or `feasible` without explaining it. Keep those terms when they express an actual technical property or constraint. Use comparisons to distinguish real alternatives. Add qualifications, narrower goals, or extra experiments only for a specific factual or logical reason; preserve a proposed mechanism as a proposal instead of demanding completed evidence during exploration.

When execution becomes unreliable, narrow the next step while preserving the requested scope and evidence standard. Recover against actual artifacts through Common's continuity rules; do not replace progress with cautionary prose, repeated reassurance, or an easier substitute deliverable.

## Core Rule

Write the scientific argument directly: problem, insight, mechanism, evidence, and supported implication. Remove authorial self-defense, imagined reviewer objections, apologetic novelty positioning, denial-led statements, empty assurances, stacked hedging, repeated scope disclaimers, and obligatory cautionary endings. Replace a defensive sentence with its scientific payload or delete it if it adds none.

Humanization preserves rigor: retain meaningful uncertainty, actual assumptions, negative results, protocol facts, citations, equations, numbers, terminology, and required disclosures. Do not turn `suggests` into `proves`, omit a known failure, or hide a real comparison limitation. Do not treat isolated words such as `only`, `not`, or `may` as errors.

Keep method confirmation and version-gate status internal. Describe the actual method and relevant configuration naturally. Use supplied specifications for method drafting, cited evidence for prior work, and verified full configurations for reported comparisons; do not require new experiments just to edit supported prose.

## Modes

- `family-preflight`: always apply the baseline before any CCFA specialist; no manuscript or experiment artifact is required.
- `manuscript-humanization`: revise defensive prose while preserving scientific content and source format.
- `experiment-humanization`: apply the same prose standard to final experiment descriptions and tables; preserve full-method comparisons and labeled ablations.
- `warning-only`: identify a concrete unresolved scientific decision without modifying its dependent artifact.

## Workflow

For `family-preflight`, apply the baseline, ensure `ccf-common` is active, and continue the requested specialist task. The following editing workflow applies only when the task includes relevant prose or experiment artifacts; do not run it merely to complete the universal preflight.

1. Identify the requested artifact, existing authorization, and whether the input is prose, a proposed design, or reported results. Read `references/humanization-policy.md` for the sentence decisions and bilingual repair examples.
2. Recover each paragraph's scientific message and how its sentences support it. Repair the actual reason, evidence, or consequence linking adjacent points; adding connectors or replacing a few words is insufficient. Delete empty self-defense instead of moving it into a warning block.
3. Remove repeated caveats across sections. Express scope where it changes interpretation; do not require every abstract, paragraph, caption, or conclusion to end with a limitation.
4. Preserve material facts and calibrated uncertainty in the authorized edit. If a decision requires new evidence or a research-scope change, isolate that decision and continue unaffected work. Do not edit a source file merely to encode a warning.
5. For actual publication comparisons or executable experiment changes, load `references/experiment-discipline.md`. Preserve a verified identity and full configuration in the internal gate; keep legitimate ablations clearly labeled. Run this step only when the task needs it.
6. Apply the existing punctuation and terminology preferences after the scientific argument is sound. For full sections or papers, run `../ccf-paper-writer/scripts/check_prose_quality.py` when available and inspect its candidate locations in context. Do not rewrite correct scientific language merely to clear a heuristic warning.
7. Read the final prose once. Check that rhetorical caution has not been replaced by hype, factual omission, or a different scientific claim. Rerun a check only for changed text or an unresolved finding.
8. Return the requested artifact in its original format. When acting as a sidecar, return ownership to the content skill; do not append a process report to ordinary prose.

## Warning Contract

Use only for a concrete decision that cannot be resolved from supplied evidence and existing authorization:

```text
CCF Humanization Warning: not inserted into artifacts
Affected claim / file / experiment:
Evidence gap and material consequence:
Decision needed:
Materiality: advisory / blocking
File changes made for this warning: none
```

`blocking` applies to the dependent claim or change, not the entire task. Style choices, already documented limitations, and accurate local claim narrowing are ordinary authorized edits.

## References

- `references/humanization-policy.md`: direct scientific voice, sentence/paragraph repair, bilingual examples, material facts, warning-only decisions, punctuation, and checksum policy.
- `references/experiment-discipline.md`: full-method comparisons, supplied specifications, ablations, and proportionate smoke checks.

© mikubaka88 · MIT · mikubaka88/CCFA-Skills

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