BD robot-id-card
Bot 身份认证标准 — 为 AI Agent 和机器人签发加密身份证书,让网站信任你的 bot。 遵循 RFC 9421 HTTP Message Signatures 国际标准,与 Cloudflare Web Bot Auth 生态兼容。 内置 Ed25519 签名注册中心、JWKS 公钥目录、nonce 防重放、CLI 工具、浏览器扩展和网站 SDK, 支持分级权限控制(0-5级)、每日签到信誉积累、公开审计日志。 Universal identity standard for AI bots — RFC 9421 aligned, Web Bot Auth compatible, cryptographically signed certificates, public audit registry, permission-based access control.
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:92High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"integrity": "sha5…Z8c+xF4WafPK+XzneQDPU+D10r…jX2+qtFF…YgQ==",
quoted -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:207High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…Zn6+NJLf…Tpc+VU3J…g18/z13mpk1bsA==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:225High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…5Ue/+tX+nmkg…wNx+ulArw==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:283High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…H6U+F4pS…LRs+IXo+uvJ/mvpy…hdQ==",
detector -
low Secrets in code
secret-high-entropy-tokenpackage-lock.json:401High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)"integrity": "sha5…qn2+bKKj…J3g==",
detector
Files scanned: 59. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "keywords" - note
frontmatter-keyunknown frontmatter key "requirements"
Process rating: all ten parameters 43/100
- 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
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 100Steps. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 686 tokens
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
- -2localhost URLs: will not work for another user
- -43 reference files, but SKILL.md never points to them: the model will not open them
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 393: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.