SKILLEMALL.ai

BC editalmd

Work with Brazilian public procurement (licitações, PNCP) through EditalMD (editalmd.com). Search tenders by product, service and state, read the proposal deadline and the estimated last day to challenge, see which activities (CNAE) usually win, winning prices, valid price-registration minutes (atas) and annual purchase plans. Read a tender document (edital) as Markdown with the qualification requirements and page evidence, and create alerts for new tenders and watches on a purchase. Use when a task mentions licitação, edital, pregão, PNCP, compras públicas, Lei 14.133, ata de registro de preço or selling to the Brazilian government.

ClawHub Agent Skills author: wendel v1.0.1 MIT-0 2 files body ≈ 1 679 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Work with Brazilian public procurement (licitações, PNCP) through EditalMD (editalmd.com). Search tenders by product, service and state, read the proposal…

As a process C 50/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: 2. 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 50/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 9 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1679 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)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 641: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill is a disclosed EditalMD integration for Brazilian public procurement research, with paid actions and tokens described and bounded by user approval.
    LLM: benign (high) · VirusTotal: · 9 Oct 2026