Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add batteryshark/rekit --skill ord-lookupgit clone --depth 1 https://github.com/batteryshark/rekitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/batteryshark/rekit/ord-lookup)<a href="https://agentmods.dev/skills/batteryshark/rekit/ord-lookup"><img src="https://agentmods.dev/badge/skills/batteryshark/rekit/ord-lookup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/batteryshark/rekit/ord-lookup"><img src="https://agentmods.dev/badge/skills/batteryshark/rekit/ord-lookup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00412 |
| Opus 5 | $0.00028 | $0.00206 |
| Sonnet 5 | $0.00011 | $0.00082 |
| Haiku 4.5 | $0.00006 | $0.00041 |
Grade A, and why
ord-lookup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ord-lookup — Ordinal Import Resolver
Resolve Windows DLL ordinal imports to their exported symbol names from a vendored static database. Stripped or by-ordinal imports (common in packed/malware binaries and DLLs linked without symbolic info) become readable.
Pure static lookup — reads no sample, runs no target.
Covered DLLs
| DLL | Entries | Notes |
|---|---|---|
ws2_32.dll |
117 | Winsock; wsock32 and mswsock are aliased here |
oleaut32.dll |
398 | OLE Automation |
Usage
# resolve a single ordinal
rekit run ord-lookup ws2_32 1 # accept
rekit run ord-lookup oleaut32.dll 7 # SysStringLen
# dump every ordinal for a DLL
rekit run ord-lookup ws2_32 --all
# list known DLLs
rekit run ord-lookup --list
# JSON output (for agent consumption)
rekit run ord-lookup ws2_32 16 --format json
# {"dll":"ws2_32.dll","ordinal":16,"name":"recv","known":true}
When an ordinal isn't in the database, the runner falls back to a synthetic
ord<N> name (so an import table is never left with a bare number). known:false
in JSON marks these synthetic fallbacks.
The lookup table lives at assets/ordinals.json; wsock32 and mswsock reuse the
ws2_32 entries instead of duplicating them.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 45 lines · 55 tokens per session scan A ed5457937004
ord-lookup is a skill published in the GitHub repository batteryshark/rekit (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 412 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.