deckprobe
>-
供给资产档案
演示文稿与幻灯片工作流
PPTX generation, HTML slides, pitch decks, speaker notes, and presentation workflow skills.
场景
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add deckflow/deckprobe --skill deckprobe
维护状态
新鲜
今天有推送
风险
需审查
Permission surface may require sandboxing
GitHub 质量
36
62/100 质量 · 71/100 信任
覆盖标签
审查说明
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
36 个 GitHub Stars
仓库活跃度
36 个 Star,10 个 Fork
维护状态
今天有推送
许可证
MIT
安装
npx skills add deckflow/deckprobe --skill deckprobe
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- Document processing 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- Read uploaded files
适用 Agent
安装决策
- 命令
- npx skills add deckflow/deckprobe --skill deckprobe
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 63/100
- 审计
- 76/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- Low GitHub adoption signal
- 暂未有 OpenAgentSkill 使用反馈数据
- 高风险权限提示:Shell 或命令执行
Agent 安全 v2
44/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
中
数据库访问
Skill 可能检查 Schema、查询数据库或处理持久化存储。
- 高风险权限提示:Shell 或命令执行
- Permission surface may require sandboxing
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install deckflow-deckprobeAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20deckprobe%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20deckprobe%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/deckflow-deckprobe/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use deckprobe in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20deckprobe%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/deckflow-deckprobe/install
Install command: npx skills add deckflow/deckprobe --skill deckprobe
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/deckflow-deckprobe/install
LLM 文本格式
/api/skills/deckflow-deckprobe/install?format=text
寻找替代方案
/api/skills/search?q=deckprobe&limit=3
Agent 提示词
Use deckprobe for this task. Review https://www.openagentskill.com/api/skills/deckflow-deckprobe/install, then install with: npx skills add deckflow/deckprobe --skill deckprobeRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Document processing
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
Document processing
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- Document processing 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 62/100 质量档案
先审查
- Low GitHub adoption signal
- 暂未有 OpenAgentSkill 使用反馈数据
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次Document processing任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查36 个 GitHub Stars
Star/Fork 活跃度
检查36 个 Star,10 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 36 GitHub stars
- Stars/forks activity: 36 stars, 10 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Create decks
Presentation generation
I need my agent to create a polished presentation deck from a brief, document, URL, or research notes, preferably with editable PPTX or HTML slides.
工作流匹配
加入完整工作流
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
MoneyPrinterTurbo
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Cua
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
概览
--- name: deckprobe description: >- Inspect PDF, Microsoft Office (docx/xlsx/pptx and legacy doc/xls/ppt), and Apple iWork (key/numbers/pages) files without opening or rendering them. Use for page and slide and sheet counts, title/author/created metadata, encryption and macro and digital-signature and JavaScript risk signals, sheet and table structure, embedded assets and fonts, corruption checks, and verifying a file really is the format its extension claims. Also use to inventory many documents at once. Returns bounded, deterministic JSON on stdout. Never renders, never runs macros, never follows external references, never sends the file anywhere. license: MIT compatibility: >- Needs the deckprobe CLI on PATH, or Node.js with network access to run it through npx. Needs a shell tool and local read access to the file. Probing itself needs no network. allowed-tools: Bash(deckprobe:*) metadata: tool: deckprobe homepage: https://github.com/deckflow/deckprobe deckprobe-skill-format: "1" ---
# DeckProbe
`ffprobe` for documents. One shell command answers a specific question about a PDF, Office, or iWork file; the answer comes back as JSON on stdout and the exit status carries the verdict.
Reach for it when a task needs facts **about** a document — how many slides, is it encrypted, does it have macros, is it corrupt, is this really a `.pptx` — rather than the text inside it. It is safe on untrusted input: nothing is rendered, no macro runs, no external reference is followed.
## 1. Make sure it runs
`npx skills add` installs this document only, not the binary. Check first:
```bash deckprobe --version ```
- Prints a version → use `deckprobe` as written throughout this document. - Command not found, but `node` exists → **the command is `npx -y @deckflow/deckprobe`**. Prefix every example below with it. First run downloads the package; later runs are cached. - Neither → ask the user to install one of: - `curl --proto '=https' --tlsv1.2 -LsSf https://github.com/deckflow/deckprobe/releases/latest/download/deckprobe-installer.sh | sh` - `npm install -g @deckflow/deckprobe` - `cargo install --git https://github.com/deckflow/deckprobe --locked deckprobe`
If you cannot get it running, say so and stop. Do **not** fall back to unzipping the package, grepping XML, or parsing PDF bytes by hand — avoiding exactly that is the point of this tool.
## 2. The shape of every call
```bash deckprobe [-t TARGETS] [-l LEVEL] [-c CONFIDENCE] [--view values] [--pretty] FILE ```
Start here when you do not yet know what you need:
```bash deckprobe -t @summary --view values --pretty report.pdf ```
`--view values` returns a compact `target -> value` map. Drop it when you also need each value's confidence, the path that produced it, and the measured cost.
**Check the exit status before parsing stdout.** A non-zero status still writes valid JSON, but it is an error envelope, not a report.
## 3. Choosing targets
`-t` accepts short names (`slide_count`), canonical names (`powerpoint.slide_count`), and selector presets. It is repeatable and comma-separated: `-t @header,title,page_count`.
| Selector | Expands to | | --- | --- | | `@header` | Container identity only — format, size, extension match, encryption flag | | `@default` | The driver's defaults for the active level. Used when `-t` is omitted | | `@summary` | Identity, common metadata, and primary structure | | `@security` | Encryption, macros, signatures, external references, active content | | `@structure` | Format-owned counts, names, and dimensions | | `@assets` | Images, media, previews, fonts, embedded objects | | `@quality` | Integrity, repair, extension match, conformance | | `@format` | Every format-specific target at the active level | | `@all` | Everything available at the active level |
`@summary` deliberately omits a statistic the current driver can only get from a full-file read. PDF page count is the notable case — ask for `page_count` or `@structure` explicitly.
**Never guess a target name.** The tool documents itself:
```bash deckprobe targets --format pptx --pretty # ids, aliases, min level, value type, cost class deckprobe formats --pretty # drivers, profiles, support boundaries deckprobe schema --pretty # the authoritative report JSON Schema ```
`references/targets.md` has the full catalogue per format if you would rather read than run.
## 4. Probe level and confidence
`-l` / `--level` picks the budget and which paths are eligible. Accepts `h`/`m`/`d` too.
| Level | Use it for | | --- | --- | | `header` | Identity and container properties. ~500 ms budget | | `metadata` | **Default.** Bounded metadata and common structural counts. ~500 ms | | `deep` | Higher-cost paths. ~5 s — only when a target's `min_level` says `deep` |
`-c` / `--confidence` filters eligible paths: `low` < `medium` < `high` (default) < `exact`. Lower it when a target comes back unresolved and an approximate answer is acceptable; raise it with `-C target=exact` for a single target that must be authoritative.
## 5. Reading the report
```jsonc { "schema_version": 2, "status": "ok", // "ok" | "partial" | "error" "input": { "display_name": "deck.pptx", "source_kind": "local_file" }, "driver": { "id": "powerpoint", "profile": "pptx" }, "results": { "powerpoint.slide_count": { "status": "resolved", // see the eight values below "value": 31, "confidence": "high", // none | low | medium | high | exact "path": "powerpoint.app_statistics", "source": "docProps/app.xml saved statistic" } }, "execution": { "unresolved_targets": [], "actual_cost": { } }, "diagnostics": [] } ```
A result's `status` is one of `resolved`, `estimated`, `planned`, `unknown`, `unsupported`, `invalid`, `budget_exceeded`, `failed`. Only `resolved` and `estimated` carry a `value`. `unknown` is the common one: the path ran and the document simply does not record that fact.
- The report's own `status` is `ok` or `partial`. `partial` is **not** a failure — at least one requested target could not be resolved at the requested confidence, and the rest are still valid. Check `execution.unresolved_targets`. - Add `--strict` when an unresolved target must fail the command. The full report is still written, and the exit status becomes `5`. - `results` is keyed by the canonical target name even when you asked with a short alias.
## 6. Exit status — and what to do about it
| Status | Meaning | Your next move | | ---: | --- | --- | | `0` | Success | Parse stdout. Unresolved targets are allowed unless `--strict` | | `1` | Invalid request or unsupported target | You named a target this format has no path for. Run `deckprobe targets --format <fmt>` | | `2` | CLI syntax error, or the file is missing/unreadable | Fix the flags or the path | | `3` | Unsupported or unrecognized format | Check the extension against `deckprobe formats` | | `4` | Malformed input or budget exceeded | Genuinely damaged file, or raise `-b`/`-x`/`-e`/`-T`. See `references/limits.md` | | `5` | `--strict` and a target was unresolved | The report is on stdout; decide whether the missing target matters | | `6` | Internal failure | A bug. Report it |
## 7. Many files at once
```bash printf '%s\n' '{"path":"a.pdf"}' '{"path":"b.pptx"}' | deckprobe --jsonl -t @summary ```
One compact JSON per non-empty input line. A per-record error does not stop the run; the process exits with the highest per-record status. Each record is a JSON string path, `{"path":"..."}`, or `{"name":"report.pdf","data_base64":"..."}`.
For bytes on stdin, `-n` supplies the logical filename that selects the format:
```bash curl -sL "$url" | deckprobe -n download.pdf -t @security - ```
## 8. What DeckProbe will not do
It has no renderer, no OCR, no text extraction, and no macro interpreter. It never opens a network connection and never resolves an external reference. Legacy XML iWork packages are rejected by design — only modern IWA is supported. `.xlsb` is identity-only. PDF XMP is not merged into the metadata targets.
Routing is by filename extension, then verified against the container. Renaming a `.pptx` to `.docx` returns `MALFORMED_INPUT`, and `-f`/`--input-format` is an assertion, not an override — it cannot force an unrelated parser onto a file.
Never parse stderr. Every result, including every error, is one JSON value on stdout.
## References
Read these only when you need them:
- **`references/targets.md`** — the full target catalogue per format, with aliases and minimum levels. Read before naming a target you have not verified. - **`references/recipes.md`** — task → command lookup for the common questions. - **`references/output.md`** — the complete report shape, error codes, and cost accounting, for when you are consuming the JSON programmatically. - **`references/limits.md`** — budgets, the `-b`/`-x`/`-e`/`-T` overrides, `-O` format options, and how to diagnose an exit `4`.
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月22日
- 发布时间
- 2026年8月22日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 deckprobe 准备的场景化草稿,可手动发布到 X。
A practical pick for the next deck: deckprobe: >- 36 stars https://www.openagentskill.com/skills/deckflow-deckprobe?ref=x
可选:带安装命令的回复
Listing + install path for deckprobe: https://www.openagentskill.com/skills/deckflow-deckprobe?ref=x Install: npx skills add deckflow/deckprobe --skill deckprobe
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- deckflow
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 deckflow,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/deckflow-deckprobe)
[](https://www.openagentskill.com/skills/deckflow-deckprobe)
[](https://www.openagentskill.com/skills/deckflow-deckprobe/audit)
[](https://www.openagentskill.com/skills/deckflow-deckprobe)作者
deckflow
@deckflow
平台适配
健康信号
- GitHub Stars
- 36
- 质量评分
- 34/100
- 最近 GitHub 推送
- 2026年8月22日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 0
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度36 个 GitHub Stars检查
- Star/Fork 活跃度36 个 Star,10 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护今天有推送通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险command execution surface, external package install surface信息
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