Add leaderboard entry: Trinity / GLM 5.2

[ajayr4j]

Summary

Leaderboard entry for Trinity / GLM 5.2 — a custom Claude Code skill
harness (11 atomic skills targeting known silent-failure modes in the
CRM/PM/file-server MCP tools: field-value verification, leaf-level
grouping, filter-before-rank, complete join chains, exact scope
boundaries, exhaustive entity coverage, named-record resolution, file
search broadening, pagination, and real submission calls) routed to
GLM-5.2 via a litellm gateway.

Full Enterprise-Bench/l1-l2-bench run: 14 tasks x 10 attempts = 140
trials, 0 errors, 89.29% accuracy.

Token/cost telemetry: this run routed through litellm to a
non-Anthropic model, and Claude Code's stream-json output does not
populate real usage stats for this route (the same instrumentation gap
noted in #9 / #11). Rather than use those near-zero self-reported
numbers, token counts were independently reconstructed from each
trial's own claude-code.txt transcript — every system-prompt/tool/
skill payload, user turn, and tool_result fed to the model as input;
every assistant text block and tool_use payload as output — tokenized
with tiktoken cl100k_base. Cost is computed from those reconstructed
input/output tokens at GLM-5.2 list pricing ($1.40 / $4.40 per 1M
tokens).

Source job: https://hub.harborframework.com/jobs/32e17142-e309-4265-b359-50804adc6b06

Type of contribution

• Agent result submission

Validation

• Dataset points at the official Enterprise-Bench/l1-l2-bench package
• Trial IDs verified unique (140/140) and public on Harbor Hub
• All 16 required metrics present per leaderboard/row-template.yaml