SKILLEMALL.ai

CF write-report

Turns findings you already have into a report a marketer can read in 30 seconds. It has a short summary with key findings and how sure each one is, the first move, decisions needed, at most six next moves, what was not checked, and dated sources. It checks length and wording before handing over, then saves the report to the brand. Use alone when you already have the findings and their sources; otherwise run the playbook for the job (e.g. research-market, research-competitors, plan-campaign).

athina-ai/goose-skills Agent Skills author: athina-ai 3 files body ≈ 2 091 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Turns findings you already have into a report a marketer can read in 30 seconds.

As a process F 33/100 · No process to follow — References files that are not bundled: <file>, ../marketing-guide/SKILL.md, gooseworks-reports/…

GeneratorData and analyticsMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: <file>, ../marketing-guide/SKILL.md, gooseworks-reports/…
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: write-report (gooseworks-ai/goose-skills)

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 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 missing-ref reference to a missing file: <file>
  • warning missing-ref reference to a missing file: ../marketing-guide/SKILL.md
  • warning missing-ref reference to a missing file: gooseworks-reports/…
  • warning missing-ref reference to a missing file: <link>

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: <file>, ../marketing-guide/SKILL.md, gooseworks-reports/…
  • 0Tools and files. 4 referenced file(s) missing: <file>, ../marketing-guide/SKILL.md, gooseworks-reports/…
  • 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. 3 mutating operations with no state check
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2091 tokens
  • 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 (4 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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 496: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 22 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.