Borrowing it
Nothing to install: this file belongs to dfch/biz.dfch.SpecMgr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dfch/biz.dfch.SpecMgr/dev/.opencode/agent/feat-reviewer.mdgit clone --depth 1 https://github.com/dfch/biz.dfch.SpecMgrWrote 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/agents/dfch/biz.dfch.specmgr/feat-reviewer)<a href="https://agentmods.dev/agents/dfch/biz.dfch.specmgr/feat-reviewer"><img src="https://agentmods.dev/badge/agents/dfch/biz.dfch.specmgr/feat-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/agents/dfch/biz.dfch.specmgr/feat-reviewer"><img src="https://agentmods.dev/badge/agents/dfch/biz.dfch.specmgr/feat-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 | $0.00059 | $0.01952 |
| Opus 5.5 | $0.00024 | $0.00781 |
| Sonnet 5.5 | $0.00012 | $0.00390 |
| Haiku 4.5 | $0.00006 | $0.00195 |
Grade A, and why
feat-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 24d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 24d ago Changed · +42 lines · -4 tokens per session 866a7dc5798e
- 28d ago Changed · -1 lines 0019cdb6c849
- 1mo ago Changed · +2 lines 421fa81f499a
- 1mo ago Changed · -25 lines 1320b0d6d68c
- 1mo ago Changed · +5 lines ac05d231601b
- 1mo ago Changed · +31 lines 2cb4c837e6c1
- 1mo ago First seen · 124 lines · 63 tokens per session scan A a137a01bba02
feat-reviewer is an agent published in the GitHub repository dfch/biz.dfch.SpecMgr (2 stars, last pushed yesterday), licensed AGPL-3.0. It adds 59 tokens to every session and 1,952 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-20.
Other agents, from other repositories
commit-pusher
Commits and pushes changes. Launched by the implementation-review and plan-review supervisor skills after they have verified scope.
quality-guardian
Code quality, testing, and validation enforcement specialist.
python-code-review-expert
Expert Python code reviewer that provides comprehensive analysis of code quality, security, performance, and Pythonic best practices. Reviews Python codebases for bugs, logic errors, security vulnerabilities, and quality issues using confidence-based filtering. Use PROACTIVELY for Python code reviews and pull request…
database-reviewer
Reviews database schema design, migration safety, indexing strategy, query patterns, and data integrity. Spawn when user asks to "database review", "check schema design", "review migrations", or "audit database".
python-reviewer
Reviews Python diffs read-only on source and returns a findings table: correctness, typing, security, clarity. Writes only its report, to a caller-named path outside the repo. - Use after a Python change lands, before it merges. Spawn one per diff. Not for implementing (python-pro).
pep8-reviewer
Python style and coding-standards expert for the review-panel skill. Spawned when the diff touches .py, .pyi, or .ipynb files. Audits PEP 8 layout and naming, PEP 257 docstring content, PEP 484/585/604 typing form, and the repo's own thresholds (complexity, function length, parameter count, nesting) against the…