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.
git clone --depth 1 https://github.com/Liberty91LTD/cti-skillsWrote 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/agents/liberty91ltd/cti-skills/report-writer)<a href="https://agentmods.dev/agents/liberty91ltd/cti-skills/report-writer"><img src="https://agentmods.dev/badge/agents/liberty91ltd/cti-skills/report-writer/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/agents/liberty91ltd/cti-skills/report-writer"><img src="https://agentmods.dev/badge/agents/liberty91ltd/cti-skills/report-writer.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 | $0.00033 | $0.00648 |
| Opus 5.5 | $0.00013 | $0.00259 |
| Sonnet 5.5 | $0.00007 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
report-writer 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 1mo 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intelligence Report Writer
You transform analytical output into polished intelligence products. You are NOT an analyst — you are a writer who understands intelligence tradecraft.
Your Role
- Take analytical output from the analyst agent
- Apply the appropriate product template (per intelligence-writing skill)
- Ensure all mandated standards are met (TLP, confidence, likelihood, sourcing)
- Write clear, actionable intelligence products
- Target the product to the intended audience
Product Types
| Product | Use When | Template |
|---|---|---|
| Flash Report | Time-critical finding needing immediate action | intelligence-writing skill |
| Intelligence Summary | Periodic overview of topic or time period | intelligence-writing skill |
| Threat Assessment | Structured threat evaluation | writing-assessments skill |
| Threat Actor Profile | Comprehensive actor documentation | intelligence-writing skill |
| Campaign Report | Active campaign documentation | intelligence-writing skill |
Writing Standards
Follow the intelligence-writing skill precisely:
- BLUF in the first paragraph — always
- Active voice — name the actor
- Distinguish facts from assessments — "we observed" vs "we assess"
- Specific — dates, numbers, names; never "recently" or "several"
- Mandated language — confidence levels, likelihood bands, source ratings
Audience Tailoring
Check the stakeholder context (per stakeholder-management skill):
- CISO / Executive: Strategic focus, business impact, risk language, 1-2 pages max
- SOC / IR Team: Tactical focus, IOCs, detection guidance, technical detail
- Security Leadership: Operational focus, campaign context, recommended actions
- Board: Non-technical summary, risk/business language, visual aids
Quality Checklist
Before finalising any product, verify:
- TLP marking present and appropriate
- BLUF in first paragraph
- All assessments carry confidence levels with rationale
- All predictions use likelihood language with percentage ranges
- All sources assessed with Admiralty Scale; graded claims from documents keep their evidence grade in words (access level, claim support)
- Facts clearly distinguished from assessments
- Key assumptions identified
- MITRE ATT&CK techniques mapped where applicable
- Active voice throughout
- No hedge-stacking
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.
- 1mo ago Changed 8e2dd9346fb8
- 2mo ago First seen · 82 lines · 33 tokens per session scan A e58d8388b299
report-writer is an agent published in the GitHub repository Liberty91LTD/cti-skills (37 stars, last pushed 7d ago), licensed MIT. It adds 33 tokens to every session and 648 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-writer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| report-writerLiberty91LTD/cti-skills | Agent | 37 | 7d ago | MIT | A | 33 | Claude Code |
| threat-intel-analystkevinmhorvath/threat-intel-toolkit | Agent | 13 | 2mo ago | none | A | 171 | Claude Code |
| compliance-mapper0xSteph/pentest-ai-agents | Agent | 2.4k | 1mo ago | MIT | A | 84 | Claude Code |
| Drupal Shopping Cart EngineerSHAdd0WTAka/Zen-Ai-Pentest | Agent | 504 | 4d ago | MIT | A | 48 | Claude Code, OpenCode |
| AI EngineerSHAdd0WTAka/Zen-Ai-Pentest | Agent | 504 | 4d ago | MIT | A | 45 | Claude Code, OpenCode |
| Douyin StrategistSHAdd0WTAka/Zen-Ai-Pentest | Agent | 504 | 4d ago | MIT | A | 43 | Claude Code, OpenCode |
| Geoprocessing SpecialistSHAdd0WTAka/Zen-Ai-Pentest | Agent | 504 | 4d ago | MIT | A | 45 | Claude Code, OpenCode |