SKILLEMALL.ai

AB tender-analyzer

Analyze tender and procurement documents (PDF, Word, images) to extract qualification requirements, scoring criteria, key deadlines, prohibited clauses, and submission checklists. Uses SoMark for accurate parsing of complex government and enterprise procurement documents. Requires SoMark API Key (SOMARK_API_KEY).

ClawHub Agent Skills author: Soul-Code v0.1.2 MIT-0 4 files body ≈ 2 137 tokens Open the sourceclawhub.ai analyzed 30 h ago

Analyze tender and procurement documents (PDF, Word, images) to extract qualification requirements, scoring criteria, key deadlines, prohibited clauses, and…

As a process B 71/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice

AnalyzerLaTeXSales and CRMSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
When it triggers w 12
20
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.
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: 4. 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")

Process rating: all ten parameters 71/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 42 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2137 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 314: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 42 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill does what it says: it sends a user-selected tender document to SoMark for parsing, then saves parsed results locally.
LLM: benign (high) · VirusTotal: · 29 May 2026