AC context-guardian
Prevent and manage context rot — the gradual decline in AI output quality during long conversations. Use this skill ALWAYS — it runs passively in every session. Activates explicitly when: the user asks "how's your context?", "are you still tracking?", "you seem off", or when session length exceeds ~20 messages or 2-3 topic shifts occur. Also triggers on: "save notes", "let's switch topics", "start fresh", "new session", "clean up memory", "prune notes", or any mention of the AI seeming forgetful or degraded.
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
How to improve
- 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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 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. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (context-guardian) differs from the folder (normieclaw-context-guardian)
- 70When it triggers. States when to use, but not when not to
- 70Failures and branches. 8 branches
- 100Tools and files. No external tools needed
- 100Steps. 55 steps
- 100Execution cost. Instruction body is 2536 tokens
- low 11 top-level sections: this looks like several domains in one skill
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
- +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
- +5Description quotes 9 example trigger phrases
- +3Description length 513: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 55 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.