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Technicalflight/image-prompt-reverse

把一张图片逆推成生成提示词(Image to Prompt):中英双语重建提示词 + 风格标签 + 结构化 JSON prompt,零依赖校验脚本 | Forensic image-to-prompt reconstruction. AGPL-3.0 · Commercial use requires license.

History

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View on GitHubAdd to my skills

Verified commit e1988d5d1b939cd03f094d5ceeda874d965bbe26

27GitHub stars
0stars in 7 days
1skill in this repository
0commits in 30 days

Heat

0.3
  • Star growth, last 7 daysNot available
  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Oct 25, 202627

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

image-prompt-reverse

When your agent uses it

把一张图片逆推成生成提示词(image to prompt)。看图后法证式重建它最可能的原始生成提示词,产出中文与英文两套重建提示词、4×2 风格标签、结构化 JSON prompt、recreation_prompt / prompt_core / negative_prompt,并对双语输出做语言桶校验。当用户说"反推提示词""这张图用了什么 prompt""图片转提示词""解析出这张图的 prompt""照这张图的风格帮我写 prompt""怎么做出这种图"时使用。

What it loads into context

Frontmatter

141 tokens

Always available to the agent

SKILL.md

1,735 tokens

When the skill is activated

Reference documents

5,438 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 触发判定
  2. 环境
  3. 三步
  4. 常见坑
  5. 文件说明

Scripts executed separately

  • scripts/validate_analysis.py

Files

  • .gitignoreasset51 bytes
  • LICENSEasset34,523 bytes
  • README.mddoc4,730 bytes
  • SKILL.mdcore5,906 bytes
  • SKILL.mdcore5,906 bytes
  • SKILL.mdcore5,906 bytes
  • SKILL.mdcore5,906 bytes
  • assets/alipay_qr.pngasset240,922 bytes
  • assets/wechat_qr.pngasset135,724 bytes
  • references/prompt-contract.mddoc8,877 bytes
  • references/validation-rules.mddoc4,802 bytes
  • scripts/validate_analysis.pyruns14,948 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

  • image-prompt-reverse

Repository facts

License
AGPL-3.0
Created
Sep 19, 2026
Last pushed
Sep 19, 2026
Forks
0
Open issues
0
Project activity
Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 4, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 13 signals by file

LICENSE

  • Network accessline 4
    Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
  • Network accessline 645
    You should have received a copy of the GNU Affero General Public License     along with this program.  If not, see <https://www.gnu.org/licenses/>.
  • Network accessline 646
    along with this program.  If not, see <https://www.gnu.org/licenses/>.
  • Network accessline 659
    if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU AGPL, see <https://www.gnu.org/licenses/>.
  • Network accessline 661
    <https://www.gnu.org/licenses/>.

README.md

  • Network accessline 9
    [![License: AGPL v3](https://img.shields.io/badge/License-AGPL_v3-blue.svg)](./LICENSE)
  • Network accessline 10
    [![Commercial Use](https://img.shields.io/badge/Commercial%20Use-Requires%20License-red)](#-许可证--license)
  • Network accessline 11
    ![Python](https://img.shields.io/badge/Python-3.8%2B-3776AB?logo=python&logoColor=white)
  • Network accessline 12
    ![Dependencies](https://img.shields.io/badge/Dependencies-Zero-success)
  • Network accessline 84
    - **[Linux.Do](https://linux.do)** — 一个分享和讨论技术的社区

SKILL.md

  • Network accessline 33
    - 本地文件 → 直接 `Read`; - 网址 → 先落盘再 Read:`curl -L -A "Mozilla/5.0" -o shot.jpg "<图片地址>"`(防盗链取不到就请用户存图给路径,别硬刚);
  • Network accessline 34
    - 网址 → 先落盘再 Read:`curl -L -A "Mozilla/5.0" -o shot.jpg "<图片地址>"`(防盗链取不到就请用户存图给路径,别硬刚);

scripts/validate_analysis.py

  • Executable scriptline 1
    #!/usr/bin/env python

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 8 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.