SKILLEMALL.ai

CD coral-new-task

End-to-end recipe for adding a new task under `examples/` — the three pieces that have to line up (`task.yaml`, `seed/`, and `grader/`), what to put in each, the `TaskGrader` API surface, the `coral validate` → smoke-test loop, and the common mistakes (repo_path pointing at the wrong dir, score direction backwards, hidden answer keys leaking into seed/, grader writing to codebase_path which the daemon force-removes, private-vs-public confusion, missing `run()` signature). Use whenever the user wants to add a new CORAL task or port an existing benchmark into CORAL.

Human-Agent-Society/Coral Agent Skills author: Human-Agent-Society 1 file body ≈ 3 208 tokens Open the sourcegithub.com↗ analyzed 7 h ago

End-to-end recipe for adding a new task under examples/ — the three pieces that have to line up (task.yaml, seed/, and grader/), what to put in each, the…

As a process D 46/100 · Unfinished process — References files that are not bundled: examples/erdos/, examples/dna_design/, examples/swebench-verified/

IntegrationSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
46/100
Unfinished process
References files that are not bundled: examples/erdos/, examples/dna_design/, examples/swebench-verified/
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

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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: examples/erdos/
  • warning missing-ref reference to a missing file: examples/dna_design/
  • warning missing-ref reference to a missing file: examples/swebench-verified/
  • warning missing-ref reference to a missing file: examples/circle_packing/
  • warning missing-ref reference to a missing file: examples/mnist/
  • warning missing-ref reference to a missing file: examples/erdos/grader/pyproject.toml
  • warning missing-ref reference to a missing file: examples/dna_design/grader/src/dna_design_grader/grader.py
  • warning missing-ref reference to a missing file: examples/dna_design/grader/pyproject.toml
  • warning missing-ref reference to a missing file: examples/ADRS/txn_scheduling/
  • warning missing-ref reference to a missing file: examples/README.md
  • warning missing-ref reference to a missing file: examples/<task>/
  • warning missing-ref reference to a missing file: examples/<task>/seed/

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: examples/erdos/, examples/dna_design/, examples/swebench-verified/
  • 0Tools and files. 12 referenced file(s) missing: examples/erdos/, examples/dna_design/, examples/swebench-verified/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 7 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3208 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 (10 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 570: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.