SKILLEMALL.ai

BF solana_deploy_engineer

Sets up Solana/Anchor development environments, prepares dApps for deployment, runs build/test/deploy workflows, and guides safe devnet/mainnet release operations with verifiable builds, buffer-based upgrades, priority-fee tuning, structured failure recovery, and memory logging.

ClawHub Agent Skills author: New Perspective v1.0.0 MIT-0 9 files body ≈ 5 341 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process F 56/100 · Will not run — References files that are not bundled: templates/env.example.template

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
77/100
safety, quality, tests
Safety 60%
95
Quality 40%
51
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: templates/env.example.template
Tools and files w 18
0
Result and completion w 14
0
Consistency w 8
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-agent-memory-dump memory/deploy-history.md
    Agent memory / workspace files bundled with the skill (4) — likely a workspace dump with personal data or tokens
    memory/deploy-history.md, memory/error-catalog.md, memory/project-notes.md, memory/version-decisions.md

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5341 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: templates/env.example.template

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: templates/env.example.template
  • 0Tools and files. 1 referenced file(s) missing: templates/env.example.template
  • 0Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (solana_deploy_engineer) differs from the folder (solana-deploy-engineer)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5341 tokens
  • 85Steps. 250 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 7 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (19 tags): a typed call is more reliable

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 279: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 250 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.

External checks

ClawHub: clean
This is a disclosed Solana deployment helper with high-impact wallet and mainnet workflows, but the behavior is purpose-aligned and includes clear safety controls.
LLM: benign (high) · VirusTotal: · 29 May 2026