SKILLEMALL.ai

AC project-narrator

Generate, audit, and maintain a PROJECT-NARRATIVE.md file — a single-source-of-truth document that captures your entire project's architecture, decisions, infrastructure, and state. Use when asked to document a project, audit existing documentation, check for drift between docs and reality, or rebuild a project narrative. Also triggers on "fresh eyes", "project health check", "documentation audit", "bus factor", "disaster recovery docs".

ClawHub Agent Skills author: tcd004 v1.1.0 MIT-0 7 files · 2 scripts body ≈ 2 008 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Generate, audit, and maintain a PROJECT-NARRATIVE.md file — a single-source-of-truth document that captures your entire project's architecture, decisions…

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 56/100

    • 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. 10 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, git, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 53 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2008 tokens
    • 100Progress reporting. Reports progress

    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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 441: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 53 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    The skill is mostly a disclosed project-documentation tool, but its optional URL checker can contact arbitrary URLs from a narrative file and its output intentionally centralizes sensitive operational metadata.
    LLM: suspicious (medium) · VirusTotal: · 12 Sept 2026