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BC debugging-network-issues

Investigates network, streaming and protocol failures with falsification-first layered experiments, the general fallback for unknown root causes. Use for ECONNRESET / RST_STREAM / SSE stalls, CDN/CGNAT timeouts or certificate errors, throughput collapse where everything returns 200 but transfers crawl, or LAN identity/topology mysteries. Not for known Tailscale/TUN/DNS/proxy-path conflicts (use tunnel-doctor).

daymade/claude-code-skills Agent Skills author: daymade MIT 16 files · 2 scripts body ≈ 14 493 tokens Open the sourcegithub.com↗ analyzed 33 h ago

Investigates network, streaming and protocol failures with falsification-first layered experiments, the general fallback for unknown root causes.

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, execution cost

ProcedureCloudflareSoftware developmenttype 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
B
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
83
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • 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
  • low Exfiltration net-credential-use references/packet-capture-recipes.md:105
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    `SSLKEYLOGFILE="$key_log_path" curl "$authorized_test_url"`. Verify that it wrote
    quoted

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 14493 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 436, 493): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 64/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 14493 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash, web, git, python, node) that frontmatter does not declare
  • 100Steps. 115 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 10 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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 The response is described with custom markup (32 tags): a typed call is more reliable
  • low No test case covers injection arriving through data

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
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 413: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 115 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (12 of 12)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.