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CF personal-crm

How to work in a Personal CRM project (the `entity-vault` starter pack, GBrain-compatible): a typed-entity vault of people, companies, meetings, and concepts, each a dossier with a rewritable summary plus an append-only timeline. Read when the project has these folders, OR when asked to capture notes about a person or company, log a meeting, prep for an upcoming meeting, or answer who someone is and what was last said. Carries the dossier convention and entity-extraction behaviors so that guidance does not live inside template bodies or folder descriptions. Complements the platform `open-knowledge` skill; does not replace it.

inkeep/open-knowledge Agent Skills author: inkeep GPL-3.0 2 files body ≈ 1 411 tokens Open the sourcegithub.com↗ analyzed 15 h ago

How to work in a Personal CRM project (the entity-vault starter pack, GBrain-compatible): a typed-entity vault of people, companies, meetings, and concepts…

As a process F 31/100 · Will not run — References files that are not bundled: ../people/alice-chen.md, ../companies/acme-ai.md, /people/alice-chen.md

ProcedureSales and CRMtype 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
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: ../people/alice-chen.md, ../companies/acme-ai.md, /people/alice-chen.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 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../people/alice-chen.md
  • warning missing-ref reference to a missing file: ../companies/acme-ai.md
  • warning missing-ref reference to a missing file: /people/alice-chen.md
  • warning missing-ref reference to a missing file: people/alice-chen.md
  • note edit-residue the text marks something as outdated (lines 30): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: ../people/alice-chen.md, ../companies/acme-ai.md, /people/alice-chen.md
  • 0Tools and files. 4 referenced file(s) missing: ../people/alice-chen.md, ../companies/acme-ai.md, /people/alice-chen.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (personal-crm) differs from the folder (entity-vault)
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 1411 tokens
  • 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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 633: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 12 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.