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 Xiaowen-Jiang/agent-enterprise --skill research_reportgit clone --depth 1 https://github.com/Xiaowen-Jiang/agent-enterpriseWrote 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/xiaowen-jiang/agent-enterprise/research_report)<a href="https://agentmods.dev/skills/xiaowen-jiang/agent-enterprise/research_report"><img src="https://agentmods.dev/badge/skills/xiaowen-jiang/agent-enterprise/research_report/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/xiaowen-jiang/agent-enterprise/research_report"><img src="https://agentmods.dev/badge/skills/xiaowen-jiang/agent-enterprise/research_report.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 | $0.00013 | $0.00292 |
| Opus 5 | $0.00006 | $0.00146 |
| Sonnet 5 | $0.00003 | $0.00058 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
Research Report 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 9d 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.
What it actually says
Process
- Define scope: Clarify what question you're answering and what's in/out of scope
- Gather information: Use available tools (web fetch, memory recall) to collect data
- Analyze findings: Identify patterns, compare sources, note contradictions
- Structure the report: Organize into logical sections
- Draw conclusions: Based on evidence, not assumptions
Report Structure
Executive Summary (2-3 sentences)
The key finding and recommendation.
Background
Why this research matters and what prompted it.
Findings
Organized by theme or question. Each finding should include:
- What was found
- Source/evidence
- Significance
Analysis
- Compare and contrast findings
- Identify trends or patterns
- Note any gaps in available information
Recommendations
- Actionable next steps
- Prioritized by impact and feasibility
Guidelines
- Distinguish facts from opinions
- Acknowledge uncertainty — say "evidence suggests" not "it is certain"
- If web fetch is available, cite sources
- Keep it concise — depth over breadth
- Tailor language to the audience (CEO wants business impact, CTO wants technical details)
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.
- 9d ago First seen · 47 lines · 13 tokens per session scan A 74b854c5a163
Research Report is a skill published in the GitHub repository Xiaowen-Jiang/agent-enterprise (52 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 292 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 2026-08-30.
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