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 alsk1992/CloddsBot --skill researchgit clone --depth 1 https://github.com/alsk1992/CloddsBotWrote 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/alsk1992/cloddsbot/research)<a href="https://agentmods.dev/skills/alsk1992/cloddsbot/research"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/research/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/alsk1992/cloddsbot/research"><img src="https://agentmods.dev/badge/skills/alsk1992/cloddsbot/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.00429 |
| Opus 5 | $0.00007 | $0.00215 |
| Sonnet 5 | $0.00003 | $0.00086 |
| Haiku 4.5 | $0.00001 | $0.00043 |
Grade A, and why
research 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 6d 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
Research Skill
Help users research markets with base rates, resolution criteria, and historical analogies.
Commands
Base Rate Lookup
/baserate incumbent senators losing
/baserate fed rate cuts when inflation below 3%
/baserate supreme court overturning precedent
Resolution Rules
/resolution [market-id]
Historical Analogs
/history similar to "Trump 2028"
Research Areas
Political Markets
- Incumbent win rates by office type
- Primary prediction accuracy
- Polling vs outcome correlations
- Electoral college patterns
Economic Markets
- Fed rate decision patterns
- Recession indicator accuracy
- Inflation forecast track records
- Employment report surprises
Sports/Events
- Historical upset frequencies
- Weather event base rates
- Award show prediction accuracy
Examples
User: "What's the base rate for Senate incumbents losing?" → Historical analysis: 8.2% since 1980 → Key factors: approval rating, scandals, wave elections
User: "How does the market usually resolve for Fed meetings?" → Explain FOMC resolution criteria → Show historical price action around announcements
User: "Has a market like this been wrong before?" → Find similar historical markets → Show when market consensus missed
Output Format
🔬 BASE RATE ANALYSIS
Query: Senate incumbent losing reelection
Historical Rate: 8.2% (47/572 since 1980)
Key Factors:
• Approval < 45%: 23% lose
• Major scandal: 31% lose
• Wave election (opposite party): 15% lose
• First-term incumbent: 12% lose
Relevant Markets:
• Ted Cruz 2024: 52¢ (current)
• Jon Tester 2024: 38¢ (current)
Sources: FEC data, Cook Political Report
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 84 lines · 14 tokens per session scan A 9fe116d89927
research is a skill published in the GitHub repository alsk1992/CloddsBot (1,190 stars, last pushed 8d ago), licensed MIT. It adds 14 tokens to every session and 429 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 2026-09-03.
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