SKILLEMALL.ai

AF agentic-delivery-skill

Create CompleteTech LLC delivery execution artifacts for approved agentic development engagements, including kickoff agendas, access checklists, project plans, milestone trackers, status updates, decision logs, risk/issue logs, change request intake, prototype review, evaluation reports, acceptance packets, launch readiness, monitoring, support, handoff, runbooks, quickstarts, closeout, post-launch review, and escalation procedures. Use after proposal/SOW or contract approval when Codex needs to run bounded agentic workflow delivery cleanly.

ClawHub Agent Skills author: CompleteTech v1.0.9 MIT-0 19 files body ≈ 2 084 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 25/100 · Will not run — References files that are not bundled: assets/logo.png

GeneratorAI and agentsInfrastructureOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
78
Run on models
none yet
Process rating
F
25/100
Will not run
References files that are not bundled: assets/logo.png
Tools and files w 18
0
Steps w 15
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Risky intent intent-offensive-security README.md:114
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Not required | Network access, credential access, persistence, privilege escalation, destructive file operations, background services, or project-system API calls. |
  • low Risky intent intent-offensive-security SKILL.md:113
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Not required | Network access, credential access, persistence, privilege escalation, destructive file operations, background services, or project-system API calls. |

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/logo.png

Process rating: all ten parameters 25/100

Will not run. References files that are not bundled: assets/logo.png
  • 0Tools and files. 1 referenced file(s) missing: assets/logo.png
  • 0Steps. Prose only: no discrete steps
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2084 tokens
  • 100Progress reporting. Reports progress
  • low 10 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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +2Single-language instructions
  • +3Description length 547: enough signal without eating the budget
  • +4Structure: 11 headings
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 2 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill is a local document-generation helper for delivery artifacts, with no evidence of hidden network access, credential use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026