SKILLEMALL.ai
GitHub ↗ RU Sign in

AD peer-message

Bridge local Claude Code and Codex sessions only when the current host's native communication tools do not cover the target. Use for cross-product messages, hooks/scripts posting to sessions, fallback reply lookup and delivery verification, or diagnosing Held peer messages. Also use its coordination guidance when shared-work ownership or an inbound peer assertion needs verification. For ordinary parent/subagent, teammate, or independent-session communication, first discover and use available native tools; do not load this skill merely to send a native message. When the target sits on another machine entirely, route through the network preview: paired contacts over an operator-provided relay answering from explicitly shared, read-only documents (peer-message:v1 invitations). Never bypass a denied or Held message with another transport. Not for spawning agents, moving full history, or granting user approval. Triggers: 跨产品通信、原生工具未覆盖的会话、脚本回帖、peer 送达排查、共享在制品归属核实、跨机器配对问答。

daymade/claude-code-skills Agent Skills author: daymade 16 files body ≈ 1 534 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Bridge local Claude Code and Codex sessions only when the current host's native communication tools do not cover the target.

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
82
Run on models
none yet
Process rating
D
47/100
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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token runtime/package-lock.json:72
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…a6g+PW2k…8gF+UwH7…ITA==",
      detector
    • low Secrets in code secret-high-entropy-token runtime/package-lock.json:139
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…wLG+bGXuSrMQAW+7Zvl…5kZ+Ms+aW+eA==",
      detector
    • low Secrets in code secret-high-entropy-token runtime/package-lock.json:151
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
      detector
    • low Secrets in code secret-high-entropy-token runtime/package-lock.json:377
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…GLw+xYSd…cqA==",
      detector
    • low Secrets in code secret-high-entropy-token runtime/package-lock.json:432
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…FrF+LTRo…W3g==",
      detector

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 47/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 9 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1534 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
    • +3Description length 980: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -35 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 9 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.