SKILLEMALL.ai

AC g2b-cli

Korean public procurement (나라장터 g2b.go.kr) command-line wrapper for the 조달청 OpenAPI surface — three subcommands cover BidPublicInfoService (입찰공고 per 업무구분 thng/servc/cnstwk/frgcpt + PPS keyword search), CntrctInfoService (계약현황 per 업무구분), and PubDataOpnStdService (개방표준 unified bid/awarded/contract feeds). Use when monitoring government tenders, building bid-aggregator dashboards, scraping awarded-contract winners, performing supplier KYB on awardee 사업자번호, alerting subscribers to new RFPs by keyword, or backfilling historical procurement data into a warehouse. Pairs with nts-bizno-cli (resolve awardee 사업자등록번호), juso-address-cli (geocode 수요기관 addresses), kakao-local-cli (map pins), opendart-cli (cross-check awardee disclosures), kr-holiday-cli (calendar overlay for 공고 timing), and tistory-api-cli/velog-cli (publish daily tender digests). Free data.go.kr tier (1,000 req/day dev, expandable on prod approval).

ClawHub Agent Skills author: Chloe Park v0.1.0 MIT-0 9 files · 6 scripts body ≈ 2 766 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting

IntegrationProcurementInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
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: 9. 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 60/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 33 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2766 tokens

    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)
    • +3Description length 916: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -31 of 4 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 33 items
    • +4Has examples (9 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This skill is a disclosed read-only wrapper for Korean public procurement APIs and does not show hidden, destructive, or unrelated behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026