SKILLEMALL.ai

BF loki-mode

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 6 939 tokens Open the sourcegithub.com analyzed 3 d ago

Multi-agent autonomous startup system for Claude Code.

As a process F 52/100 · Will not run — References files that are not bundled: references/tool-orchestration.md, references/quality-control.md, references/openai-patterns.md

ProcedurePlaywrightAWSAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
45
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/tool-orchestration.md, references/quality-control.md, references/openai-patterns.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 6939 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/tool-orchestration.md
  • warning missing-ref reference to a missing file: references/quality-control.md
  • warning missing-ref reference to a missing file: references/openai-patterns.md
  • warning missing-ref reference to a missing file: references/agent-types.md
  • warning missing-ref reference to a missing file: references/lab-research-patterns.md
  • warning missing-ref reference to a missing file: references/production-patterns.md
  • warning missing-ref reference to a missing file: references/architecture.md
  • warning missing-ref reference to a missing file: references/core-workflow.md
  • warning missing-ref reference to a missing file: references/advanced-patterns.md
  • warning missing-ref reference to a missing file: references/memory-system.md
  • warning missing-ref reference to a missing file: references/task-queue.md
  • warning missing-ref reference to a missing file: references/sdlc-phases.md
  • warning missing-ref reference to a missing file: references/spec-driven-dev.md
  • warning missing-ref reference to a missing file: references/mcp-integration.md
  • warning missing-ref reference to a missing file: references/claude-best-practices.md
  • warning missing-ref reference to a missing file: references/deployment.md
  • warning missing-ref reference to a missing file: references/business-ops.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/tool-orchestration.md, references/quality-control.md, references/openai-patterns.md
  • 0Tools and files. 17 referenced file(s) missing: references/tool-orchestration.md, references/quality-control.md, references/openai-patterns.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 8 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6939 tokens
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 20 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

  • +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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 759: enough signal without eating the budget
  • +4Structure: 52 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (26 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.