SKILLEMALL.ai

CF research-with-sources

Investigate a topic against preserved sources and write a draft-status research article under `research/` in a Knowledge Base project (the `knowledge-base` starter pack). Read when asked to research a topic, compare options, synthesize sources, gather evidence, or extend an existing research doc. Carries the full procedure: scan existing coverage, agree a research rubric, capture every source verbatim before analyzing, write the article incrementally so a crash never loses work, cite every claim, and link it back into the graph. Does not promote findings to canonical knowledge — that is the sibling `consolidate-notes` skill, after a decision lands.

inkeep/open-knowledge Agent Skills author: inkeep GPL-3.0 1 file body ≈ 5 311 tokens Open the sourcegithub.com analyzed 15 h ago

Investigate a topic against preserved sources and write a draft-status research article under research/ in a Knowledge Base project (the knowledge-base…

As a process F 37/100 · Will not run — References files that are not bundled: ../external-sources/source-a.md, ../external-sources/source-b.md, relative/path.md

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: ../external-sources/source-a.md, ../external-sources/source-b.md, relative/path.md
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 body-long SKILL.md body ≈ 5311 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../external-sources/source-a.md
  • warning missing-ref reference to a missing file: ../external-sources/source-b.md
  • warning missing-ref reference to a missing file: relative/path.md
  • warning missing-ref reference to a missing file: ../external-sources/llm-agents.md
  • warning missing-ref reference to a missing file: references/ingest-and-sources.md
  • note frontmatter-key unknown frontmatter key "type"
  • note edit-residue the text marks something as outdated (lines 17): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: ../external-sources/source-a.md, ../external-sources/source-b.md, relative/path.md
  • 0Tools and files. 5 referenced file(s) missing: ../external-sources/source-a.md, ../external-sources/source-b.md, relative/path.md
  • 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
  • 40Consistency. Frontmatter name (research-with-sources) differs from the folder (research)
  • 50When it triggers. No condition that starts the skill
  • 70Failures and branches. 10 branches
  • 70Execution cost. Instruction body is 5311 tokens
  • 85Steps. 67 steps, 1 vague phrases
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (9 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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 656: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.