SKILLEMALL.ai

BD self-improvement

Capture durable lessons from debugging, user corrections, missing capabilities, and repeated workflow friction so future sessions avoid the same mistakes. Use this skill when a non-obvious failure is diagnosed, the user corrects or updates the agent, a workaround or project convention is discovered, a capability is missing, a solved issue should be promoted into shared memory, or you should review prior learnings before changing a known-problem area. Do not use for trivial typos, expected failures, straightforward retries, or one-off noise with no reusable lesson.

ClawHub Agent Skills author: Tristan Manchester v1.0.0 MIT-0 24 files · 7 scripts body ≈ 2 183 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Capture durable lessons from debugging, user corrections, missing capabilities, and repeated workflow friction so future sessions avoid the same mistakes.

As a process D 39/100 · Unfinished process — References files that are not bundled: scripts/..., references/..., assets/...

ProcedureDockerLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
39/100
Unfinished process
References files that are not bundled: scripts/..., references/..., assets/...
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: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/...
  • warning missing-ref reference to a missing file: references/...
  • warning missing-ref reference to a missing file: assets/...

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/..., references/..., assets/...
  • 0Tools and files. 3 referenced file(s) missing: scripts/..., references/..., assets/...
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (self-improvement) differs from the folder (actual-self-improvement)
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 58 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 2183 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 570: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 58 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (6 of 7)
  • +3All 5 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
This skill is mostly coherent, but it persistently changes agent memory and includes an overwrite path that can delete or write files outside the intended workspace in symlinked directories.
LLM: suspicious (high) · VirusTotal: · 12 Sept 2026