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.
npx skills add HyunjunJeon/Deepagent-research-context-engineering --skill report-writinggit clone --depth 1 https://github.com/HyunjunJeon/Deepagent-research-context-engineeringWrote 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.
[](https://agentmods.dev/skills/hyunjunjeon/deepagent-research-context-engineering/report-writing)<a href="https://agentmods.dev/skills/hyunjunjeon/deepagent-research-context-engineering/report-writing"><img src="https://agentmods.dev/badge/skills/hyunjunjeon/deepagent-research-context-engineering/report-writing/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.
<a href="https://agentmods.dev/skills/hyunjunjeon/deepagent-research-context-engineering/report-writing"><img src="https://agentmods.dev/badge/skills/hyunjunjeon/deepagent-research-context-engineering/report-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.03466 |
| Opus 5.5 | $0.00010 | $0.01386 |
| Sonnet 5.5 | $0.00005 | $0.00693 |
| Haiku 4.5 | $0.00002 | $0.00347 |
Grade A, and why
report-writing 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 551 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report Writing Skill
This skill provides structured guidance for transforming research findings into well-organized, professional reports. It ensures consistency, clarity, and completeness across all research outputs.
When to Use This Skill
Invoke this skill when:
- Finalizing Research: Converting raw research notes and findings into a formal deliverable
- Creating Documentation: Producing technical documentation, white papers, or analysis reports
- Synthesizing Multiple Sources: Combining insights from various sub-agent research tasks into a unified narrative
- Stakeholder Communication: Preparing reports for executive review, technical teams, or external audiences
- Knowledge Preservation: Documenting research methodology and findings for future reference
Do NOT use this skill for:
- Quick summaries or informal notes (use simple markdown instead)
- Real-time status updates (use TODO lists)
- Raw data dumps (use structured data files)
Report Structure Template
Every research report MUST follow this hierarchical structure. Adapt section depth based on report complexity.
1. Executive Summary
Purpose: Provide a standalone overview for readers who may not read the full report.
Contents:
- Research objective (1-2 sentences)
- Key findings (3-5 bullet points)
- Primary recommendations or conclusions
- Critical limitations or caveats
Length: 150-300 words (1 page maximum)
Writing Tip: Write this section LAST, after all other sections are complete.
2. Introduction/Background
Purpose: Establish context and frame the research question.
Contents:
- Problem statement or research question
- Why this research matters (business/technical impact)
- Scope boundaries (what IS and IS NOT covered)
- Brief overview of approach taken
Length: 200-500 words
3. Methodology
Purpose: Enable reproducibility and establish credibility.
Contents:
- Data sources consulted (with dates accessed)
- Search strategies and queries used
- Selection criteria for sources
- Tools and techniques employed
- Limitations of the methodology
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.
- 2mo ago First seen · 551 lines · 24 tokens per session scan A badb96160527
report-writing is a skill published in the GitHub repository HyunjunJeon/Deepagent-research-context-engineering (53 stars, last pushed 9mo ago), licensed MIT. It adds 24 tokens to every session and 3,466 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
report-writing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| report-writingHyunjunJeon/Deepagent-research-context-engineering | Skill | 53 | 9mo ago | MIT | A | 24 | Claude Code, Codex |
| foundry-hosted-agent-validationmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 82 | Claude Code, Codex |
| python-feature-lifecyclemicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 43 | Claude Code, Codex |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 65 | Claude Code, Codex |
| python-developmentmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 27 | Claude Code, Codex |
| security-conductorkirodotdev/KiroCrew | Skill | 4.8k | yesterday | Apache-2.0 | A | 57 | Claude Code, Codex |
| artifact-deploykirodotdev/KiroCrew | Skill | 4.8k | yesterday | Apache-2.0 | A | 74 | Claude Code, Codex |