Individual skill
picks-tracker
Retrospective on past token and prediction market picks - what hit, what flopped, what the score is
skills/picks-tracker/SKILL.md
Source commit 25575a6be3bfab41925964de55654056a2fe0c39
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 789
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude-code Repository topic
- agent-framework Repository topic
- agents Repository topic
- ai Repository topic
- anthropic Repository topic
- claude Repository topic
- harness Repository topic
- llm Repository topic
- automation Repository topic
- crypto Declared skill tag
- review Declared skill tag
- meta Declared skill tag
- engineering Derived category
Files and excerpt
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Today is ${today}. Your task is to audit the last 30 days of token picks and score them against current prices.
Read memory/MEMORY.md for context.
## Network note
`curl` works — there is no network sandbox. For every curl call, if it fails or returns empty/error, use **WebFetch** for the same URL as a fallback for a flaky public GET.
## Steps
### 1. Extract token picks from logs
[Credential-related source omitted]
- Symbol (e.g., XMR, HYPE, TAO)