Content
57%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A knowledge-rich, well-sectioned analysis framework whose interpretation tables and composite scoring are genuinely valuable and mostly token-efficient. It falls short on executability — the code is illustrative, data access is unspecified — and on workflow sequencing, with everything packed into one long file instead of split across references.
Suggestions
Add an explicit numbered workflow (fetch supply/mint-burn/reserve data → sanity-check for depegs or pre-mints → score each of the five dimensions → compute composite → fill the output template) so the sequence and checkpoints are stated, not implied.
Make the code executable: show how to actually retrieve data (DeFi Llama endpoint URLs or Dune query patterns) and define the event objects or replace them with concrete API response handling, instead of functions over undefined inputs.
Split the body into reference files (e.g., references/chains.md for the chain-distribution tables, references/data-sources.md for source access details) and drop the hardcoded snapshot supply values, which are time-sensitive and will silently go stale.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with domain-specific interpretation tables and numeric thresholds (supply-change bands, dominance bands, reserve-vs-price matrix) that Claude cannot be assumed to know, so most tokens earn their place. Minor trimmable parts: the hardcoded snapshot supply dict ('USDT': 140_000_000_000 ...) is time-sensitive point-in-time data, and a few lines re-explain basics like what high velocity means. | 4 / 5 |
Actionability | Concrete interpretation tables exist, but the code is illustrative rather than executable: 'mint_burn_signal(mint_events, burn_events, ...)' depends on undefined event objects, the supply dict is hardcoded sample values, and the data-access guidance is just 'Use `read_url` tool' with no URLs, endpoints, or queries for the listed sources. This matches the 'pseudocode instead of executable code; missing key details' anchor — above 2 because the tables give genuinely concrete decision rules. | 3 / 5 |
Workflow Clarity | The workflow (gather supply/mint-burn/reserve data → score each dimension → combine into the composite → render the output template) is only implicit in section order; no numbered step sequence exists and there are no validation checkpoints (e.g., the depeg sanity caveat sits in Notes rather than as a check step). Not 2 because the composite scoring scheme plus the full output template do define a coherent path from data to result. | 3 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are absent) and the ~245-line body keeps everything inline: seven concept sections, six-row source table, chain tables, and a 40-line output template. Headers make it navigable, but the chain-level distribution table, data-source details, and possibly the output template clearly belong in one-level-deep reference files, matching the 'content that should be separate is inline' anchor. | 3 / 5 |
Total | 13 / 20 Passed |