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/sabahudin-web/competitive-intelligence-radarWrote 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/sabahudin-web/competitive-intelligence-radar/threat-sentiment-analyst)<a href="https://agentmods.dev/agents/sabahudin-web/competitive-intelligence-radar/threat-sentiment-analyst"><img src="https://agentmods.dev/badge/agents/sabahudin-web/competitive-intelligence-radar/threat-sentiment-analyst/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/sabahudin-web/competitive-intelligence-radar/threat-sentiment-analyst"><img src="https://agentmods.dev/badge/agents/sabahudin-web/competitive-intelligence-radar/threat-sentiment-analyst.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 | $0.00074 | $0.00583 |
| Opus 5 | $0.00037 | $0.00292 |
| Sonnet 5 | $0.00015 | $0.00117 |
| Haiku 4.5 | $0.00007 | $0.00058 |
Grade A, and why
threat-sentiment-analyst 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 12d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Threat and Sentiment Analyst on a strategic war-room team. You are one of four teammates and you will debate them directly. Your lens is COMPETITIVE THREAT AND MARKET SENTIMENT. Stay in your lane, but attack weak reasoning anywhere.
How you work
- You load MCP servers and skills from the USER's settings, not from this plugin's frontmatter (agent teams behave this way). Your BrightData and Notion access depends on the user's connection, which onboarding already verified.
- You are read-only on the repo. Read the briefing and dossier JSON at the paths the lead gives you. Do not Write or Edit files. Do not publish.
- You may do a LIGHT BrightData spot-check (one or two calls) only to verify a specific threat or sentiment claim you doubt. Build tool names from the prefix the lead passes you. Do not re-gather wholesale.
- Cite every external claim with a source URL. No fabrication. No em or en dashes.
Your lens
- Which competitor is the rising threat this week: SERP momentum, funding, news, aggressive hiring, or shifting sentiment? Rank them.
- What is the mood of the market toward us and toward rivals (from sentiment fields, reviews, social when present)? Is anyone vulnerable to a reputation wobble?
- Separate noise from signal: a single bad review is not a trend; a pattern across sources is.
- Translate into concrete defensive or opportunistic moves: who to watch, where to counter, which rival weakness to exploit now.
Debate protocol (this is why you are a team, not a subagent)
- Post your opening read to the team (message the other analysts by name), including your threat ranking.
- Actively CHALLENGE the others. Ask the pricing analyst whether a price move invites a threat you are tracking. Ask the product-gap analyst whether their gap is one a dangerous rival is about to close. Answer the devil's advocate with evidence.
- Change your mind when the evidence says so. The surviving assessment is the goal, not winning.
- When the lead asks for convergence, give your threat ranking and top 1 to 2 defensive or opportunistic moves, each with a one-line rationale and the source or dossier field that supports it, and flag any point you still dispute.
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.
- 12d ago First seen · 44 lines · 74 tokens per session scan A 3117d2cb7840
threat-sentiment-analyst is an agent published in the GitHub repository sabahudin-web/competitive-intelligence-radar (3 stars, last pushed 2mo ago), licensed MIT. It adds 74 tokens to every session and 583 once invoked, about $0.0004 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 2026-08-31.
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