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/orienting-codebases)<a href="https://agentmods.dev/skills/oaustegard/claude-skills/orienting-codebases"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/orienting-codebases.svg" alt="Measured on agentmods" 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 | $0.02634 |
| Opus 5 | $0.00057 | $0.01317 |
| Sonnet 5 | $0.00023 | $0.00527 |
| Haiku 4.5 | $0.00012 | $0.00263 |
Grade A, and why
orienting-codebases scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL -H "Authorization: Bearer $GH_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orienting Codebases
Interactive codebase orientation for the human, not the agent. Same tree-sitting + featuring pipeline as exploring-codebases, but synthesizes into guided HTML exercises via composing-html instead of analysis documents. See README.md for design rationale.
Pipeline
0. Setup (once per session)
uv venv /home/claude/.venv 2>/dev/null
uv pip install tree-sitter-language-pack --python /home/claude/.venv/bin/python
export PYTHON=/home/claude/.venv/bin/python
export TREESIT=/mnt/skills/user/tree-sitting/scripts/treesit.py
export GATHER=/mnt/skills/user/featuring/scripts/gather.py
export COMPOSE=/mnt/skills/user/composing-html/scripts/build.py
1. Get the repo
OWNER=... REPO=... REF=main
curl -sL -H "Authorization: Bearer $GH_TOKEN" \
"https://api.github.com/repos/$OWNER/$REPO/tarball/$REF" -o /tmp/$REPO.tar.gz
mkdir -p /tmp/$REPO && tar -xzf /tmp/$REPO.tar.gz -C /tmp/$REPO --strip-components=1
For local repos, skip the curl — point directly at the path.
2. Structural scan
$PYTHON $TREESIT /tmp/$REPO --stats
3. Feature gathering
$PYTHON $GATHER /tmp/$REPO \
--skip tests,.github,node_modules --source-budget 8000
4. Targeted source extraction
For each exercise target identified from gather output, extract the actual source using treesit queries:
# Entry point source
$PYTHON $TREESIT /tmp/$REPO --no-tree 'source:main'
# Specific function for an exercise
$PYTHON $TREESIT /tmp/$REPO --no-tree 'source:validate_token'
# Imports for a hub file
$PYTHON $TREESIT /tmp/$REPO --no-tree 'imports:src/api.py'
This source feeds directly into the HTML artifact — the user sees real code, syntax-highlighted, without having to navigate the repo.
Do not show raw pipeline output to the user. It's material for exercise design. The user sees HTML artifacts and conversation.
Orientation session
After the pipeline steps, synthesize into an interactive orientation. Three phases.
What ships with it
2 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.
- 5d ago First seen · 317 lines · 115 tokens per session scan A adc269327ce7
orienting-codebases is a skill published in the GitHub repository oaustegard/claude-skills (147 stars, last pushed yesterday), licensed MIT. It adds 115 tokens to every session and 2,634 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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