SKILLEMALL.ai

BD data-streaming

For data pipelines, aggregators, or indexers, real-time account state streaming on Solana with light account hot/cold lifecycle tracking. Stream Light token accounts, mint accounts, and PDAs via Laserstream gRPC.

ClawHub Agent Skills author: tilo-14 v1.0.2 6 files body ≈ 1 074 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
94
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token references/mint-accounts.md:14
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const LIGHT_TOKEN_PROGRAM_ID: &str = "cTok…v3m";
    quoted
  • low Secrets in code secret-high-entropy-token references/pdas.md:15
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const PROGRAM_ID: &str = "Your…111";
    quoted
  • low Secrets in code secret-high-entropy-token references/pdas.md:158
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    For indexing all programs (not just yours), subscribe to **Light System Program** (`SyST…rT7`) transactions instead. All compression events CPI through it.
    quoted
  • low Secrets in code secret-high-entropy-token references/token-accounts.md:23
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const LIGHT_TOKEN_PROGRAM_ID: &str = "cTok…v3m";
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:63
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Light Token Program | `cTok…v3m` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:64
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Light System Program | `SyST…rT7` |
    table

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (data-streaming) differs from the folder (solana-stream-light)
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1074 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 22 items
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a documentation-focused Solana streaming skill with disclosed, purpose-aligned Rust examples and no hidden execution or credential handling.
LLM: benign (high) · VirusTotal: benign · 28 May 2026