BF swmm-end-to-end
Top-level orchestration skill for agentic SWMM modelling. Use when an agent needs one entrypoint that decides which module tools to run, in what order, and when to stop, for example to build, run, QA, and optionally calibrate a SWMM case from prepared or partially prepared inputs.
Top-level orchestration skill for agentic SWMM modelling.
As a process F 69/100 · Will not run — References files that are not bundled: scripts/real_cases/run_todcreek_minimal.py, templates/city_mapping_raw_shapefile.template.json
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5612 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: scripts/real_cases/run_todcreek_minimal.py - warning
missing-refreference to a missing file: templates/city_mapping_raw_shapefile.template.json
Process rating: all ten parameters 69/100
- 0Tools and files. 2 referenced file(s) missing: scripts/real_cases/run_todcreek_minimal.py, templates/city_mapping_raw_shapefile.template.json
- 0Progress reporting. Says nothing while it works
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 5612 tokens
- 100Steps. 232 steps
- 100Inputs and preconditions. Inputs and preconditions are listed
- 100Failures and branches. 3 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- low 16 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (31 tags): a typed call is more reliable
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)
- +1No license
- +2Single-language instructions
- +3Description length 281: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 232 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.