generic

A fallback guide for running the pr-reviewer code-review process with coding agents that have no dedicated guide.

In plain words
What is it for?
Use it to review a pull request with GitHub or GitLab tools, clone the repository, and run reviews manually, through an agent task, or with a shell script.
Why use it?
It explains which tools can fetch pull-request information and how to repeat reviews when the agent has no built-in loop command.

Agent

Install

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.

agentmods
npx agentmods add agents/mdelapenya/coding-skills/generic
Clone the repo
git clone --depth 1 https://github.com/mdelapenya/coding-skills
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 438 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00438
Opus 5 $0.00000 $0.00219
Sonnet 5 $0.00000 $0.00088
Haiku 4.5 $0.00000 $0.00044

Measured yesterday against content hash 3769a5933bb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

generic 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.

skills/pr-reviewer/references/agents/generic.md · 28 lines

What it actually says

Generic / Unknown Agent

Fallback topic file for any agent that does not have a dedicated entry under references/agents/.

Fetch tooling

The skill drives its own fetch. If the agent has shell access, gh (GitHub) and glab (GitLab) are the canonical tools. If the agent only has an MCP server for the host (e.g., GitHub MCP), use that for metadata/diff/issues — but git clone for Step 2c of the skill still requires shell access. If the agent has neither shell nor a relevant MCP, the user must check out the PR before invoking; the skill cannot manufacture data.

Looping primitive

Most coding agents do not have a built-in loop primitive today (Claude Code is the exception — see claude.md). For everything else, pick the most automation-friendly option your agent supports, in increasing order of automation:

  1. Manual — the user re-invokes /pr-reviewer [<num>] after each round until the skill reports convergence or --rounds=N is hit.
  2. Agent task description — tell the agent in plain language: "Run /pr-reviewer [<num>] up to 3 times, stopping early on converged: true." Multi-step agents will sequence this correctly.
  3. External shell driver — drive the agent from a shell for / while that breaks on the convergence marker:
    for i in $(seq 1 3); do
      <agent-invocation-here> "/pr-reviewer [<num>]"
      grep -q '^- converged: true$' "<base-dir>/findings.md" && break
    done
    

--rounds=N is the universal hard stop. Always pass it.

Posting the final report

The skill prints the report by default. If the agent has the ability to post to the source platform, confirm with the user first, then use whichever tool the agent provides. Otherwise print the report and let the user post it manually.

Changes

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.

  1. yesterday First seen · 28 lines · 0 tokens per session scan A 3769a5933bb0

Subscribe to this mod's changes

generic is an agent published in the GitHub repository mdelapenya/coding-skills (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 438 tokens. 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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