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 saeedkolivand/ai-job-hunter-app --skill agent-cli-standardsgit clone --depth 1 https://github.com/saeedkolivand/ai-job-hunter-appWrote 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/saeedkolivand/ai-job-hunter-app/agent-cli-standards)<a href="https://agentmods.dev/skills/saeedkolivand/ai-job-hunter-app/agent-cli-standards"><img src="https://agentmods.dev/badge/skills/saeedkolivand/ai-job-hunter-app/agent-cli-standards/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/saeedkolivand/ai-job-hunter-app/agent-cli-standards"><img src="https://agentmods.dev/badge/skills/saeedkolivand/ai-job-hunter-app/agent-cli-standards.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 | $0.00083 | $0.03396 |
| Opus 5 | $0.00042 | $0.01698 |
| Sonnet 5 | $0.00017 | $0.00679 |
| Haiku 4.5 | $0.00008 | $0.00340 |
Grade A, and why
agent-cli-standards 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent CLI standards
Standards for ajh-tauri agent … — the machine-facing control surface an AI agent drives instead of
reading pixels off a native window (issue #1084). Load with author-contract (authors) /
token-efficiency + critic-contract (reviewers). The bridge transport itself is
extension-standards; this skill is the CLI surface on top of it.
The consumer is not a human
Output goes into an LLM's context. That single fact drives most of what follows: the output is a contract, third-party text in it is an injection vector, and a path in an error message is a privacy leak into a transcript that may be pasted into a bug report.
Architecture (settled — do not redesign without an ADR)
- A MODE of the existing binary, never a second
[[bin]]. The release upload globs only readtarget/release/bundle/**(.github/workflows/release.yml), so a second binary ships to nobody. The exe is already installed and already registered in the native-messaging manifests. - The argv sentinel's position is load-bearing in both directions (
main.rs):- BELOW the native-host short-circuit.
- ABOVE
ajh_tauri::run()—run()forks the minidump supervisor as its first act, and the single-instance plugin would otherwise hand the CLI's argv to the running GUI, pop its window, and exit having printed nothing.
- A thin client over the loopback bridge — never a second reader of the stores. The app must be
running. Reading the data directory from a second process is not read-only:
ApplicationStore::openrunslink_orphaned_generations+backfill_from_generations, which write toai_generations.dband can CREATEApplicationrows, and two processes racingrun_migrations(which readsuser_versionoutside any transaction) can leave the app booted with no store at all. - The app finds itself, the CLI does not guess.
AJH_DATA_DIRnever escapes the app process and the AppHandle-free fallback is not the install location, so the app writes a pointer file carryingexePath(fromcurrent_exe()) anddataDiron every launch, onregister_native_host's existing best-effort/idempotent lifecycle. The binary is not onPATHon Windows, macOS, or Linux AppImage.
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.
- 7d ago First seen · 188 lines · 83 tokens per session scan A e41d69098ce0
agent-cli-standards is a skill published in the GitHub repository saeedkolivand/ai-job-hunter-app (54 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 3,396 once invoked, about $0.0004 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 2026-09-03.
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