BC archon-keymaster
Core Archon DID toolkit - identity management, verifiable credentials, encrypted messaging (dmail), Nostr integration, file encryption/signing, aliasing, authorization (challenge/response), groups, and cryptographic polls. Use for creating/managing DIDs, issuing/accepting verifiable credentials, sending encrypted messages between DIDs, deriving Nostr keypairs, encrypting/signing files, managing DID aliases, challenge/response authorization, managing DID groups, or running cryptographically verifiable polls. For vaults/backups see archon-vault; for ecash see archon-cashu.
As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:361Pipe-to-shell installer from a well-known host (still executes remote code)curl -sSL https://raw.githubusercontent.com/fiatjaf/nak/master/install.sh | sh
Files scanned: 77. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6061 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 59/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 40 mutating operations with no state check
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 6061 tokens
- 100Steps. 67 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 19 top-level sections: this looks like several domains in one skill
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 577: enough signal without eating the budget
- +4Structure: 108 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (91 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.