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 notque/vexjoy-agent --skill processgit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/process)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/process"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/process/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/notque/vexjoy-agent/process"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/process.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 | $0.00023 | $0.01985 |
| Opus 5.5 | $0.00009 | $0.00794 |
| Sonnet 5.5 | $0.00005 | $0.00397 |
| Haiku 4.5 | $0.00002 | $0.00198 |
Grade A, and why
process 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 yesterday.
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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Process Skill
Five modes. Parse the request to pick one. Default to retro when ambiguous.
| Signal | Mode |
|---|---|
| Routing stats, review ROI, retro | Retro |
| Hand off, package state, session pickup, rehydrate | Handoff |
| Pair program, step by step, walk me through, one change at a time | Pair |
| Subagent per task, execute plan, fresh context | Subagent |
| Wait for, retry, backoff, poll, health check, circuit breaker | Wait |
Mode: Retro
Read-only retrospective. Store: learning.db (routing/review telemetry via scripts/learning-db.py).
Subcommands
| Argument | Action |
|---|---|
| routing, route health | Run python3 ~/.claude/scripts/learning-db.py route-health, then route-stats --by agent (or the user's dimension). Present outcome basis before rates. |
| reviews, review ROI | Run learning-db.py review-roi and review-fps. Present cost, findings, and false positives per agent in one table. |
For comparisons: learning-db.py route-delta --from SHA_OR_DATE --to SHA_OR_DATE.
Mode: Handoff
Two submodes sharing one state contract. HANDOFF packages work for the next session. PICKUP rehydrates from that package.
Handoff (ending/pausing work)
Produce a bullet package with these sections:
- Scope/status -- task in one line, finished vs. remaining, blockers.
- Working tree --
git status -sb; note unpushed commits and worktree path. - Branch/PR -- branch, PR URL, CI status (
gh pr checks). - Live processes -- summarize relevant processes with attach/tail commands. Redact secrets.
- Tests/checks -- commands, results, checked revision, log paths.
- Next steps -- remaining actions in execution order.
- Risks/gotchas -- flaky tests, feature flags, approvals needed.
Gate: every process has a copy-paste command; every pending step is ordered.
Pickup (starting on existing work)
- Read the handoff and repository instructions.
- Confirm branch, local commits, worktree path (
git status -sb). - Check CI/PR (
gh pr view --comments). - Check live processes from the handoff. Attach or tail logs.
- Rerun only invalidated or missing checks.
- Write next 2-3 actions as bullets, then execute.
What ships with it
6 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.
- yesterday Changed · +192 lines · -8 tokens per session ab207b72d392
- 26d ago Changed · -196 lines · +8 tokens per session 4d27f7f78ed0
- 27d ago First seen · 241 lines · 23 tokens per session scan A 4994a775d20c
process is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 1,985 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-20.
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