token-flow-tracing
token-flow-tracing is a Smart contracts & Web3 skill for AI agents, published by PlamenTSV in the plamen repository on GitHub. Skillspace rates token-flow-tracing D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Performs comprehensive token flow analysis by tracing all token entry and exit paths, verifying accounting consistency, detecting unsolicited transfer vectors, and identifying risks such as donation attacks, balance desynchronization, token type confusion, and side-effect-driven state changes.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 264
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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