MCPInstall

ccf-humanization

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.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/mikubaka88/ccfa-skills --skill ccf-humanization
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads ccf-humanization automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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 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 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 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:

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.

FAQ

What does the ccf-humanization skill do?

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.

How do I install ccf-humanization?

Run npx skills add https://github.com/mikubaka88/ccfa-skills --skill ccf-humanization in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ccf-humanization/ (personal) or .claude/skills/ccf-humanization/ (project).

Which AI agents can use ccf-humanization?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ccf-humanization safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ccf-humanization?

It is published by mikubaka88 in mikubaka88/ccfa-skills. It has 1,945 recorded installs.

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