BB stellar-trails
Activates on every task: coding (features, bugs, refactoring, scripts), documents (reports, proposals, DOCX, PDF), charts and visualizations, data processing, complex multi-step planning, or even simple questions. Provides a six-phase workflow with traceability IDs, entry/exit gates, scope commitment, and three enforcement layers (phase machine, mandatory prints, preferences dialog). Complexity adapts per task tier. Use this skill whenever the user asks to build, fix, analyze, create, plan, or process anything — the framework runs internally for trivial tasks and fully for complex ones. Web development (Next.js, UI) is delegated to fullstack-dev; this framework wraps the workflow around it.
Activates on every task: coding (features, bugs, refactoring, scripts), documents (reports, proposals, DOCX, PDF), charts and visualizations, data processing…
As a process B 66/100 · Nearly there — weak spots: result and completion, execution cost
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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
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low Dangerous commands
cmd-background-processdev.sh:7Starts a background / autostarted process (code comment)# - Keep: setsid (PID management), zip restore, infinite loop (user decision)
comment -
low Exfiltration
net-credential-useSKILL.md:137Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service)_OWNER_JSON=$(curl -sS -m 10 -H "Authorization: Bearer $_GH_TOKEN" https://api.github.com/user)
known service -
low Dangerous commands
cmd-background-processSKILL.md:156Starts a background / autostarted process (detector / deny-list definition)DEV_SH="$ZSCRIPTS/dev.sh"; [ -f "$DEV_SH" ] && ! ss -tlnp | grep -q ':3000 ' && ( setsid bash "$DEV_SH" </dev/null >/dev/null 2>&1 & ) &
detector -
low Dangerous commands
cmd-background-processSKILL.md:208Starts a background / autostarted processif [ -f "$DEV_SH" ]; then ( setsid bash "$DEV_SH" </dev/null >/dev/null 2>&1 & ) & sleep 1
-
low Exfiltration
net-credential-useSKILL.md:843Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)1. **List workflow runs**: `curl -H "Authorization: Bearer $TOKEN" "https://api.github.com/repos/$REPO/actions/runs?per_page=10" | python3 -c "..."`
known servicequoted
Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 14728 tokens (recommended < 5000); move details to references/ - note
edit-residuethe text marks something as outdated (lines 88, 230, 478, 497): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 66/100
- 0Result and completion. Does not say what the result is
- 40Execution cost. Instruction body is 14728 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, web, git, python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 69 steps, 1 vague phrases
- 100Failures and branches. 6 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 23 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (5 tags): a typed call is more reliable
- medium 8 test cases, all positive: not one "should refuse" or "should ask first"
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -2localhost URLs: will not work for another user
- -217 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 699: enough signal without eating the budget
- +4Structure: 50 headings
- +3Step-by-step instructions: 69 items
- +4Has examples (21 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.