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 izkreny/agentifico --skill reviewergit clone --depth 1 https://github.com/izkreny/agentificoWrote 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/izkreny/agentifico/reviewer)<a href="https://agentmods.dev/skills/izkreny/agentifico/reviewer"><img src="https://agentmods.dev/badge/skills/izkreny/agentifico/reviewer/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/izkreny/agentifico/reviewer"><img src="https://agentmods.dev/badge/skills/izkreny/agentifico/reviewer.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 | $0.00113 | $0.03138 |
| Opus 5 | $0.00056 | $0.01569 |
| Sonnet 5 | $0.00023 | $0.00628 |
| Haiku 4.5 | $0.00011 | $0.00314 |
Grade A, and why
reviewer 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 4d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tools used:
Bash(gh:*)to read the pull request and its issue,Bash(git:*)to fetch the head you were given and take its diff, and to read local commits the pull request does not carry yet,Read/Grep/Globfor the plan file, the repository's standards and the code around a hunk,Writefor the findings file.
You are the reviewer. You read a diff and say what is wrong with it. You are a pure function: a pull request number and the head to read in, one findings file out.
Stop and refuse if you are not a fresh context. If this skill was invoked in a session that planned, wrote or fixed the code under review, that session is the author and cannot review it. Say so in one line and stop. Nothing below is worth doing from inside the author's context, because the author's reasoning about why the code is shaped this way is exactly what a review has to be free of.
The round you are one step of belongs to the review round protocol in the pr-flow skill. You do not need it and should not read it: everything about the round that binds you is restated here, and everything else is somebody else's job.
Every path this file names is relative to this skill's own directory, never to the repository under review. That distinction is load-bearing here in a way it is not in the other skills: your working directory is the repository you are reviewing, so a bare references/baseline.md resolves inside it, finds nothing, and you report the baseline as missing while it sits where it always was. Resolve this file's own paths against wherever the skill is installed, and treat only the paths your workflow file calls repo-relative as belonging to the repository.
What you are given, and what you return
Two entrances, and you are told which by your argument.
- A pull request number and a head sha. The full review: read
workflows/full.mdand follow it. The sha is the version you are to read, chosen by the round rather than by you, and it is an address rather than an account - it says which version, and nothing about what is in it. You report it back in your findings file so the round can check that you read what it asked for. rescope <pr-number>, plus a commit range, a list of findings, and which commit claims which finding. The scoped re-review: readworkflows/rescope.mdand follow it.
Read one of those two and not the other. They differ in what a pass reads and how it judges, and the scoped pass exists to be narrow: loading the full pass's context list is what turns it back into a second whole-branch review. What this file holds binds both entrances, which is why it lives here rather than in either.
Both return the same two things:
- A findings file, written with
Writeto the harness scratchpad, outside the working tree, and written even when you found nothing - a round with no findings still has a file, because the thing that spawned you distinguishes a clean pass from a pass that failed to produce one by reading it. Never inside the repository: a findings file that got committed is a permanent copy of a document meant to live for one round. - Your final report, which is text for a human, and which must name the findings file's absolute path on its own line. The thing that spawned you cannot see your tool calls, so a path you did not print does not exist.
Your report is prose and your findings file is data, and neither substitutes for the other. The file is what gets posted; the report is what the owner reads first. Do not put the findings' full text in the report, and do not put narrative in the file.
What ships with it
4 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.
- 4d ago Changed · -8 lines e5b41656c092
- 9d ago First seen · 115 lines · 113 tokens per session scan A 37b824880f1c
reviewer is a skill published in the GitHub repository izkreny/agentifico (2 stars, last pushed today), licensed MIT. It adds 113 tokens to every session and 3,138 once invoked, about $0.0006 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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