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 bobberrisford/affiliatemcp --skill qbr-prepgit clone --depth 1 https://github.com/bobberrisford/affiliatemcpWrote 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/bobberrisford/affiliatemcp/qbr-prep)<a href="https://agentmods.dev/skills/bobberrisford/affiliatemcp/qbr-prep"><img src="https://agentmods.dev/badge/skills/bobberrisford/affiliatemcp/qbr-prep/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/bobberrisford/affiliatemcp/qbr-prep"><img src="https://agentmods.dev/badge/skills/bobberrisford/affiliatemcp/qbr-prep.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 | $0.00140 | $0.01546 |
| Opus 5 | $0.00070 | $0.00773 |
| Sonnet 5 | $0.00028 | $0.00309 |
| Haiku 4.5 | $0.00014 | $0.00155 |
Grade A, and why
qbr-prep 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 11d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Premium scope note
The free programme-performance-report skill already produces a full QBR
output profile: quarter window, quarter-over-quarter delta, monthly trend
within the quarter, partner mix, wins, risks, and two-to-four recommended
actions. Run that skill first, or as Step 1 below, if it has not been run for
this quarter. Do not re-derive figures this skill already computed.
This premium skill adds three things the free profile does not do:
- A multi-quarter trend (typically the last four to six quarters, not just this quarter vs. last), so the narrative can say "third consecutive quarter of growth" rather than only one delta.
- A commitment follow-up: it re-reads last quarter's recommended actions (if the operator has them, pasted or recalled) and reports, against this quarter's data, whether each one visibly happened.
- A presentation-ready structure: a slide-outline shape (title, agenda, one idea per section) rather than a report-shaped document, so the operator can paste sections straight into slides.
It never re-sells the underlying numbers pull; it is a narrative and structuring layer on top of data the free skill already knows how to fetch.
Assumptions and requirements
- The brand is already registered via
affiliate_resolve_brand(bindings to one or more advertiser-side networks). If it is not, stop and point the user ataffiliate-networks-mcp setup. - Credentials for the bound networks are configured. When credential state is
uncertain, recommend
affiliate-networks-mcp doctor <slug>rather than guessing. - A recorded client strategy/KPI file is optional but improves the narrative (Step 2). Its absence is normal, not an error.
- Last quarter's recommended actions are optional input. If the user has no record of them, say so plainly in the follow-up section rather than inventing what might have been recommended.
Step 1 — get this quarter's numbers
If the user has not already run it this session, run the free
programme-performance-report skill's QBR profile for this brand and
quarter: resolve the brand, load the client strategy via
affiliate_get_client_strategy({ brand }), and produce the quarter window,
partner mix, and current recommended actions exactly as that skill
specifies. Treat its output as this skill's input; do not duplicate its tool
calls if the user already has the numbers in front of them this session.
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.
- 11d ago First seen · 127 lines · 140 tokens per session scan A 47f7718286fa
qbr-prep is a skill published in the GitHub repository bobberrisford/affiliatemcp (6 stars, last pushed 1mo ago), licensed MIT. It adds 140 tokens to every session and 1,546 once invoked, about $0.0007 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 2026-08-31.
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