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 evmts/tevm --skill fix-cigit clone --depth 1 https://github.com/evmts/tevmWrote 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/evmts/tevm/fix-ci)<a href="https://agentmods.dev/skills/evmts/tevm/fix-ci"><img src="https://agentmods.dev/badge/skills/evmts/tevm/fix-ci.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00355 |
| Opus 5 | $0.00000 | $0.00178 |
| Sonnet 5 | $0.00000 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
fix-ci 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 today.
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
Fix CI
Input: optionally one target label to fix first.
The //:ci suite report you start from lists every red target with its
log. Work from the bottom of the dependency graph up: a red build in
packages/utils explains red tests in twenty packages, so fix builds, then
typechecks, then tests, then lints.
- For each red target, read its log and find the first real error (not the
cascade). Reproduce it with the package's own script
(
vitest run <file>,tsc --noEmit,biome check .) before editing. - Fix the cause in the package that owns it. Do not skip tests, widen
types to
any, add// @ts-ignoreoutside test files, or loosen a coverage threshold. A dependency version conflict is fixed in the manifest and lockfile, not by patchingnode_modules. - If a failure is a real regression in behavior, fix the behavior and keep the test. If the test asserts something the code no longer promises (and a changeset documents that), update the test and say so.
- Formatting and lint failures: run the package's
biome check --write --unsafeand review the diff before keeping it. - Re-run the failed target, then the package's full
check, then move to the next red target. Stop editing when//:ciis green.
Final message: each target that was red, the root cause in one sentence, and the fix. Anything you could not fix, with the reason, so a human can take it.
What ships with it
1 file 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.
- today First seen · 28 lines · 0 tokens per session scan A da3fb59f8ae1
fix-ci is a skill published in the GitHub repository evmts/tevm (446 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 355 tokens. 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 2026-09-07.
Other skills, from other repositories
mcore-create-issue
Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
debug-task
Diagnose and fix moon tasks that are broken, misconfigured, or behaving unexpectedly. Use this skill when a moon task is failing, not running, skipped, hanging, producing stale or wrong output, cached when it shouldn't be, re-running every time when it should be cached, or when outputs are empty or missing after a…
github-ci-fix
Fix failing GitHub CI / Actions checks via fixgithubprci and push to the existing PR head, or fix a branch's failing CI via a linked repair worktree.
github-ci-fix
Use when the user asks OpenSRE to fix failing GitHub CI, GitHub Actions checks, failing pull request checks, a broken PR branch, or CI on a named branch such as main.
meta-long-running-build-watchdog
Watches a long-running command via tmux, lets sub-agent diagnose failures and propose a fix, and records the diagnosis to memory. Designed for overnight model fine-tunes, CI image builds, or repeated regression suites that may fail intermittently.
tracely
Instrument AI agents with Tracely and turn their production traces into CI gates. Use when the user mentions Tracely, tracely-ai, tracelysdk, the tracely CLI, or asks to trace/observe an AI agent, add LLM evaluators or LLM-as-a-judge columns, debug why a trace or conversation isn't showing up, wire agent regression…