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 agentmods add commands/saigonxiii/evc/intel-scangit clone --depth 1 https://github.com/SaigonXIII/evcWhat 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 | $0.00000 | $0.00579 |
| Opus 5 | $0.00000 | $0.00290 |
| Sonnet 5 | $0.00000 | $0.00116 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
intel-scan 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 2d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intel Scan
Weekly intelligence gathering for the {{COMPANY_NAME}} content engine. Run on Sunday evening or Monday morning before content planning.
Trigger
User invokes /intel-scan or asks to "scan for intel", "research competitors", "what's happening this week"
Steps
1. Market Intelligence
Search web and LinkedIn for recent activity from competitors and industry:
- Search X/Twitter for posts from accounts listed in
content-engine/memory/competitor-watch.md - Search for relevant industry keywords and news from the past 7 days
- Search LinkedIn for competitor company posts using
mcp__linkedin__get_company_postsfor key competitors - Use
mcp__linkedin__search_peopleto find industry leaders posting about relevant topics - Identify trending topics, narratives, and announcements in the space
- Note any competitor product launches, partnerships, or messaging shifts
2. Visual Intelligence
- Search for high-performing posts in your industry on X from the past week
- Identify visual trends: formats getting the most engagement (video vs static, dark vs light, stat-led vs story-led)
- Check if any new X features or formats have launched
- Compare against our visual style documented in
content-engine/memory/visual-log.md
3. Platform Intelligence
- Search for X/Twitter algorithm updates, developer blog posts, or feature changes
- Check for any changes to post reach, engagement weighting, or content format preferences
- Note any new posting best practices from social media marketing sources
4. Compile Report
Write the intel report to content-engine/calendar/ as intel-[date].md with sections:
- Market Signals — what competitors are doing, industry trends
- Visual Trends — what's working visually, format insights
- Platform Updates — algorithm changes, feature updates
- Recommendations — specific suggestions for this week's content
5. Update Memory Files
Append new findings to:
content-engine/memory/competitor-watch.md— new observationscontent-engine/memory/visual-log.md— new visual insightscontent-engine/memory/learning-log.md— new learnings
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.
- 2d ago First seen · 54 lines · 0 tokens per session scan A ea83efcdfd87
intel-scan is a command published in the GitHub repository SaigonXIII/evc (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 579 tokens. 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.
Other commands, from other repositories
review-tool
Research a tool or product for skill-gap, architecture, and verb-fit per the Anatomy framework.
setup
First-run setup — replace the fictional company and authors with yours.
review-content
Review content for brand alignment, lead placement, bio consistency, and proof points.
voice-check
Check a draft against the author's voice profile and flag deviations.
content-status
Scan all content directories and report status of drafts, ideas, and published content.
draft-blog
Scaffold a blog post with proper structure, voice, and frontmatter.