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 akiotanaka847/qaio-desktop --skill prep-the-review-cyclegit clone --depth 1 https://github.com/akiotanaka847/qaio-desktopWrote 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/akiotanaka847/qaio-desktop/prep-the-review-cycle)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/prep-the-review-cycle"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/prep-the-review-cycle/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/akiotanaka847/qaio-desktop/prep-the-review-cycle"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/prep-the-review-cycle.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 | $0.00043 | $0.01396 |
| Opus 5 | $0.00022 | $0.00698 |
| Sonnet 5 | $0.00009 | $0.00279 |
| Haiku 4.5 | $0.00004 | $0.00140 |
Grade A, and why
prep-the-review-cycle 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 6d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prep the Review Cycle
When to use
- Explicit: "prep the review cycle", "Q{N} reviews are starting", "build the review templates", "set up the next review cycle".
- Implicit: triggered by
weekly-people-reviewwhen upcoming cycle date fromcontext/people-context.mdwithin lead-time window. - Frequency: one per cycle. Founder want refresh mid-cycle? re-run, supersede.
Connections I need
I run external work through Composio. Before this skill runs I check that the categories below are linked. Missing → I name the category, ask you to connect it from the Integrations tab, stop.
- Docs (Google Docs, Notion) — share the templates with managers and ICs. Optional.
- HR platform (Gusto, Deel, Rippling, Justworks) — pull the current roster for calibration. Optional.
This skill drafts artifacts locally, so missing connections won't block me — I just won't push templates out automatically.
Information I need
I read your people context first. For every required field that's missing I ask ONE plain-language question (best modality: connected app > file drop > URL > paste) and wait.
- Review cycle rhythm — Required. Why I need it: shapes the timeline and the cycle slug. If missing I ask: "Are reviews annual, semi-annual, or quarterly, and when does the next cycle start and end?"
- Leveling framework — Required. Why I need it: prompts and rubrics map to attributes per level. If missing I ask: "How would you describe each level, what scope, autonomy, and impact looks like at L1 through L5?"
- Rating scale — Optional. Why I need it: the manager template uses your scale instead of a generic one. If you don't have it I keep going with a four-band default and TBD where your scale would slot in.
- Comp bands — Optional. Why I need it: lets the calibration doc flag comp moves crossing band edges. If you don't have it I keep going with TBD on the comp sanity check.
- Roster — Required. Why I need it: calibration doc lists who's reviewing whom. If missing I ask: "Connect your HR platform so I can pull the team, or paste the current roster."
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.
- 6d ago First seen · 117 lines · 43 tokens per session scan A c284d040845a
prep-the-review-cycle is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 8d ago), licensed MIT. It adds 43 tokens to every session and 1,396 once invoked, about $0.0002 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 2026-09-05.
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