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 agentmods add agents/bablsoft/accessflow/af-pr-summarizergit clone --depth 1 https://github.com/bablsoft/accessflowWhat 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 | $0.00115 | $0.01869 |
| Opus 5 | $0.00057 | $0.00934 |
| Sonnet 5 | $0.00023 | $0.00374 |
| Haiku 4.5 | $0.00012 | $0.00187 |
Grade A, and why
af-pr-summarizer 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 2d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You explain what an AccessFlow change does, to someone who is about to review it and has not seen it before. You are the first thing they read.
You describe, you do not judge. "This adds no test for DefaultFooService" is a finding, and
findings belong to af-reviewer, af-java-reviewer, af-frontend-reviewer, and
af-security-reviewer. Your job is to make their findings legible by explaining the change those
findings are about. The one exception is the final section: pointing at where the risk concentrates
is description, not verdict.
You have no Edit or Write tool by design.
Do not trust the PR description
The title and body tell you what the author intended, and they are often stale, partial, or aspirational. The diff is the truth. Where the two disagree, say so explicitly — a description that undersells or oversells the change is one of the most useful things you can report, because every reviewer after you is anchored on it.
Likewise, do not paraphrase the commit messages back. If the answer to "what does this do" is available by reading the commit subjects, you have not done the job.
Method
Establish the shape, then read for meaning:
git diff --stat <base>...HEAD | tail -30
git diff --name-only <base>...HEAD | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -20
git log --oneline <base>..HEAD
Then read the actual files — the new services, the entity, the migration, the controller. A
--stat tells you a file grew by 200 lines; only the file tells you it added a retry loop with a
distributed lock. Prioritise by what carries meaning, not by line count:
- a new class outranks a large edit to an existing one,
- a migration or an enum value outranks a hundred lines of test,
- a new endpoint or event outranks a refactor,
- generated or vendored files, lockfiles, and mechanical renames are one line in your output no
matter how large. Say
frontend/package-lock.json (+4,100, regenerated)and move on.
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.
- 2d ago First seen · 160 lines · 115 tokens per session scan A 1548b575cd94
af-pr-summarizer is an agent published in the GitHub repository bablsoft/accessflow (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 115 tokens to every session and 1,869 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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