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BD memory-recall

Recall facts from past sessions via memoir for questions or tasks that may depend on prior preferences, decisions, conventions, or knowledge. Use one fast summarize/get pass by default, exclude metrics unless requested, never call legacy `memoir recall`, and defer repo-structure onboarding questions to memoir-onboard.

zhangfengcdt/memoir Agent Skills author: zhangfengcdt Apache-2.0 1 file body ≈ 2 905 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Recall facts from past sessions via memoir for questions or tasks that may depend on prior preferences, decisions, conventions, or knowledge.

As a process D 45/100 · Unfinished process — References files that are not bundled: scripts/resolve-memoir-cli.sh

ReferenceData and analyticsAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
D
45/100
Unfinished process
References files that are not bundled: scripts/resolve-memoir-cli.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: scripts/resolve-memoir-cli.sh
  • note edit-residue the text marks something as outdated (lines 177): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: scripts/resolve-memoir-cli.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/resolve-memoir-cli.sh
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 85Steps. 27 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2905 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 319: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 27 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.