unified-deliverable-workflow

unified-deliverable-workflow is a skill for Claude Code, Codex from HKUDS/OpenSpace. It costs 22 tokens per session (3,740 once invoked), scanned A, original, MIT.

A workflow for creating spreadsheets, diagrams, and PDF reports together, with planned work phases and error recovery.

In plain words
What is it for?
Use it to produce and check Excel files, diagrams, and PDF reports as a coordinated documentation package.
Why use it?
It helps complete several related document outputs without using all available work time on one format.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to produce and check Excel files, diagrams, and PDF reports as a coordinated documentation package.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d
About the project

OpenSpace is a skill-management layer for AI agents that stores, retrieves, evaluates, shares, and improves reusable workflows. It is intended for people using multiple coding agents who want skills to be reused and refined based on task outcomes. The catalogue provides 200 skills for use with OpenSpace and the agents it supports.

HKUDS/OpenSpace · 7,552 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add HKUDS/OpenSpace --skill pdf-checklist-workflow-enhanced-780c5d
Clone the repo
git clone --depth 1 https://github.com/HKUDS/OpenSpace

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for unified-deliverable-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d/github.svg)](https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d)
Your own site
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for unified-deliverable-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d"><img src="https://agentmods.dev/badge/skills/hkuds/openspace/pdf-checklist-workflow-enhanced-780c5d.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,740 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Output Handling · line 92
    Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.
    Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.03740
Opus 5 $0.00011 $0.01870
Sonnet 5 $0.00004 $0.00748
Haiku 4.5 $0.00002 $0.00374

Measured 6d ago against content hash c5b9036f0058, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

unified-deliverable-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

benchmarks/gdpval/skills/pdf-checklist-workflow-enhanced-780c5d/SKILL.md · 457 lines

How it starts

The opening of the file, as written. The whole thing — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Unified Multi-Deliverable Workflow

This skill provides a structured pattern for creating multiple document artifacts (spreadsheets, diagrams, PDF reports) in a single workflow with explicit iteration budgeting and robust error handling.

Overview

Use this workflow when you need to:

  • Generate multiple related deliverables (Excel, PNG diagrams, PDF reports)
  • Manage iteration budget across different artifact types
  • Handle execute_code_sandbox failures gracefully
  • Ensure all deliverables are completed before budget exhaustion
  • Create cohesive documentation packages with cross-referenced content

Iteration Budget Template

Default Allocation (adjust based on task complexity):

Phase Deliverable Iterations Validation
1 Spreadsheet (.xlsx) 8-10 File exists, readable, correct structure
2 Diagram (.png) 8-10 File exists, viewable, correct dimensions
3 PDF Report (.pdf) 8-10 File exists, downloadable, proper formatting
Buffer Error recovery 4-6 Retry failed phases

Total recommended budget: 30-36 iterations

Pre-Flight Checks (Iteration 1-2)

Before generating any deliverables:

  1. Verify workspace path: Always use /workspace/ as base directory
  2. Test execute_code_sandbox: Run a simple print statement to confirm tool works
  3. Check required libraries: Plan to install via !pip install if needed
  4. Standardize filenames: Use consistent naming pattern (e.g., projectname_deliverable.ext)
# Quick sandbox test
print("SANDBOX_OK")
print(f"WORKSPACE_PATH:/workspace")

If this fails, use run_shell as fallback for file operations.

Phase 1: Spreadsheet Creation (Iterations 3-12)

Step 1.1: Plan Structure

Define your spreadsheet structure before coding:

  • Sheet names
  • Column headers
  • Data types
  • Any formulas or formatting

Step 1.2: Write Generation Code

Using openpyxl (recommended for .xlsx):

# Install if needed
# !pip install openpyxl

from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment

wb = Workbook()
ws = wb.active
ws.title = "Data"

# Header row with styling
headers = ["Item", "Description", "Value", "Status"]
for col, header in enumerate(headers, 1):
    cell = ws.cell(row=1, column=col, value=header)
    cell.font = Font(bold=True)
    cell.fill = PatternFill(start_color="CCCCCC", end_color="CCCCCC", fill_type="solid")
    cell.alignment = Alignment(horizontal="center")

# Data rows
data = [
    ["Item 1", "Description 1", 100, "Complete"],
    ["Item 2", "Description 2", 200, "Pending"],
]
for row_idx, row_data in enumerate(data, 2):
    for col_idx, value in enumerate(row_data, 1):
        ws.cell(row=row_idx, column=col_idx, value=value)

# Auto-adjust column widths
for column in ws.columns:
    max_length = 0
    column_letter = column[0].column_letter
    for cell in column:
        try:
            if len(str(cell.value)) > max_length:
                max_length = len(str(cell.value))
        except:
            pass
    adjusted_width = min(max_length + 2, 50)
    ws.column_dimensions[column_letter].width = adjusted_width

# Save with standard path
output_path = "/workspace/hardware_selection_table.xlsx"
wb.save(output_path)
print(f"ARTIFACT_PATH:{output_path}")
print("SPREADSHEET_GENERATED")

Read the full file on GitHub · 457 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 457 lines · 22 tokens per session scan A c5b9036f0058

Subscribe to this mod's changes

unified-deliverable-workflow is a skill published in the GitHub repository HKUDS/OpenSpace (7,552 stars, last pushed 28d ago), licensed MIT. It adds 22 tokens to every session and 3,740 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.