Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/oaustegard/claude-skills/featuring)<a href="https://agentmods.dev/skills/oaustegard/claude-skills/featuring"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/featuring/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/oaustegard/claude-skills/featuring"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/featuring.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 | $0.00115 | $0.03467 |
| Opus 5 | $0.00057 | $0.01733 |
| Sonnet 5 | $0.00023 | $0.00693 |
| Haiku 4.5 | $0.00012 | $0.00347 |
Grade A, and why
featuring 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 10d 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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Featuring
Generate _FEATURES.md files — top-down documentation of what a codebase does,
organized by feature/capability, anchored to specific source symbols.
tree-sitting tells you WHAT symbols exist. _FEATURES.md tells you WHY they exist and what they accomplish together.
For large codebases, the root _FEATURES.md decomposes into sub-feature files
linked by capability area — not by folder structure. An agent starts at the root
and is drawn into sub-files only when working on a relevant area.
Dependency
Requires tree-sitting skill. Uses its engine for AST scanning.
uv venv /home/claude/.venv 2>/dev/null
uv pip install tree-sitter-language-pack --python /home/claude/.venv/bin/python
tree-sitting caches its scan to /tmp/treesit-cache, keyed by repo path plus
skip set. That cache persists symbols and imports but NOT file source, so a
cache HIT returns source=None. gather.py re-reads those files from disk;
do not assume entry.source is populated if you write against the engine
directly. (Before this was handled, gather crashed on its second run against a
repo while the first succeeded — diagnosed 2026-08-22.)
For quick structural orientation before running gather.py, use tree-sitting's CLI:
TREESIT=/mnt/skills/user/tree-sitting/scripts/treesit.py
# Complete tree, sparse detail — see the full shape
/home/claude/.venv/bin/python $TREESIT /path/to/repo --depth=-1 --detail=sparse
Workflow: Multi-Pass Synthesis
Feature documentation is built in three passes. The overview is written LAST, after all features are understood — not first.
Pass 1: Orientation (quick scan)
/home/claude/.venv/bin/python /mnt/skills/user/featuring/scripts/gather.py /path/to/repo \
--skip tests,.github,node_modules --source-budget 8000
--orient when you are not writing the file. The full output is a complete
symbol inventory — 5,697 lines on a 71k-line repo — and it exists so a
_FEATURES.md can cite every symbol. When the deliverable is your own
understanding (a review, an orientation read), pass --orient: complexity
assessment, decomposition ranking, directory tree and entry points, and nothing
else. ~115 lines. Reaching for head on the full output means --orient was
the right mode.
What ships with it
6 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.
- 10d ago First seen · 366 lines · 115 tokens per session scan A d1045c3c8a72
featuring is a skill published in the GitHub repository oaustegard/claude-skills (148 stars, last pushed today), licensed MIT. It adds 115 tokens to every session and 3,467 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 2026-08-30.
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