SKILLEMALL.ai

BF memory-management

Use when the user asks to "remember project context", "save SEO data", "track campaign progress", "store keyword data", "manage project memory", "remember this for next time", "save my keyword data", or "keep track of this campaign". Manages a two-layer memory system (hot cache + cold storage) for SEO/GEO project context, tracking keywords, competitors, metrics, and campaign status with intelligent promotion/demotion.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 6 639 tokens Open the sourcegithub.com analyzed 2 d ago

Use when the user asks to "remember project context", "save SEO data", "track campaign progress", "store keyword data", "manage project memory", "remember…

As a process F 42/100 · Will not run — References files that are not bundled: ../../research/keyword-research/, ../../research/competitor-analysis/, ../../research/serp-analysis/

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: ../../research/keyword-research/, ../../research/competitor-analysis/, ../../research/serp-analysis/
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 ≈ 6639 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../research/keyword-research/
  • warning missing-ref reference to a missing file: ../../research/competitor-analysis/
  • warning missing-ref reference to a missing file: ../../research/serp-analysis/
  • warning missing-ref reference to a missing file: ../../research/content-gap-analysis/
  • warning missing-ref reference to a missing file: ../../build/seo-content-writer/
  • warning missing-ref reference to a missing file: ../../build/geo-content-optimizer/
  • warning missing-ref reference to a missing file: ../../build/meta-tags-optimizer/
  • warning missing-ref reference to a missing file: ../../build/schema-markup-generator/
  • warning missing-ref reference to a missing file: ../../optimize/on-page-seo-auditor/
  • warning missing-ref reference to a missing file: ../../optimize/technical-seo-checker/
  • warning missing-ref reference to a missing file: ../../optimize/internal-linking-optimizer/
  • warning missing-ref reference to a missing file: ../../optimize/content-refresher/
  • warning missing-ref reference to a missing file: ../../monitor/rank-tracker/
  • warning missing-ref reference to a missing file: ../../monitor/backlink-analyzer/
  • warning missing-ref reference to a missing file: ../../monitor/performance-reporter/
  • warning missing-ref reference to a missing file: ../../monitor/alert-manager/
  • warning missing-ref reference to a missing file: ../content-quality-auditor/
  • warning missing-ref reference to a missing file: ../domain-authority-auditor/
  • warning missing-ref reference to a missing file: ../entity-optimizer/
  • warning missing-ref reference to a missing file: ../../CONNECTORS.md
  • warning missing-ref reference to a missing file: ../../references/core-eeat-benchmark.md
  • warning missing-ref reference to a missing file: ../../references/cite-domain-rating.md

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: ../../research/keyword-research/, ../../research/competitor-analysis/, ../../research/serp-analysis/
  • 0Tools and files. 22 referenced file(s) missing: ../../research/keyword-research/, ../../research/competitor-analysis/, ../../research/serp-analysis/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 8 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6639 tokens
  • 85Steps. 119 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 12 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
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 421: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 119 items
  • +4Has examples (32 code blocks)
  • +1License stated

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