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Chronolapse411/sicarius-guard (sicarius-guard)

sicarius-guard · v1.0.0 · scanned

What changed in the harness

Selection accuracy 78%, destructive-action safety rate 100% (baseline only -- no rewrite pass applied).

Category breakdown

Where the score comes from.

Earned points across the four signals Gradable measures. Safety and Legibility are scored out of 30; Economics and Discoverability are scored out of 20.

01Safety

30.0 / 30

30.0 out of 30
02Legibility

25.0 / 30

25.0 out of 30
03Economics

19.8 / 20

19.8 out of 20
04Discoverability

13.7 / 20

13.7 out of 20

Highest-impact fix

Estimated gain +6 points

Make target tools discoverable on the first call

Clarify tool names, decision boundaries, and required argument schemas so an agent can choose and construct the target call without exploratory steps.

Description evidence

Defects and rewrites.

0 defects found across the exposed tool descriptions. Suggested rewrites make purpose, inputs, boundaries, and returns easier for an agent to understand.

Tool Defect types Suggested rewrite
No description defects were flagged in this assessment.

Selection evidence

Confusable tool pairs.

4 pairs where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
check_token_safety check_honeypot medium check_token_safety itself runs a honeypot simulation among its 5 checks, so a task phrased like 'check if this token is a honeypot before I buy' matches both: check_honeypot hits the exact term while check_token_safety matches the pre-trade safety intent, making a wrong pick plausible.
check_token_safety check_holder_concentration medium Holder concentration is one of the five checks inside check_token_safety and both are framed as rug-pull indicators, so a task like 'check holder concentration to assess rug risk' or 'check this token for a rug pull' could plausibly route to either the narrow tool or the broader one that subsumes it.
check_token_safety full_token_scan medium Both are safety analyses that return a verdict and each claims to be comprehensive (5-layer vs 7-layer) using overlapping terms like safety/honeypot; a task like 'run a full/comprehensive safety check on this token' could reasonably land on either member.
full_token_scan batch_scan low batch_scan runs the same 7-layer analysis as full_token_scan and differs mainly by multi-token input, so a vague plural request like 'run the full scan on these tokens' could misroute; however, the definitions explicitly warn against batch_scan for a single token, so real confusion is uncommon.

Compare the field

One score is useful.
The evidence makes it actionable.

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