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 skills add rpraharaj/forward-deployed-engineer --skill repo-recongit clone --depth 1 https://github.com/rpraharaj/forward-deployed-engineerWrote 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/rpraharaj/forward-deployed-engineer/repo-recon)<a href="https://agentmods.dev/skills/rpraharaj/forward-deployed-engineer/repo-recon"><img src="https://agentmods.dev/badge/skills/rpraharaj/forward-deployed-engineer/repo-recon/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/rpraharaj/forward-deployed-engineer/repo-recon"><img src="https://agentmods.dev/badge/skills/rpraharaj/forward-deployed-engineer/repo-recon.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 | $0.00158 | $0.03582 |
| Opus 5 | $0.00079 | $0.01791 |
| Sonnet 5 | $0.00032 | $0.00716 |
| Haiku 4.5 | $0.00016 | $0.00358 |
Grade A, and why
repo-recon 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 11d 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repo recon
The first structured pass over an unfamiliar system.
Why this exists
Dropped into a large codebase, the instinct is to start reading. After two hours you know one component and cannot answer the questions people are about to ask. This skill trades depth for coverage: where things are and what you'd be scared to touch. Depth is trace-the-flow, later, only where the work lands. A map that exists only in this session is worthless in week three.
When this applies
- Any unfamiliar codebase you'll work in for more than a day
- Before estimating, designing, or changing anything
- Inheriting a system whose authors have left
- Someone asks what a repository does and you don't know
When it doesn't
- You already know the system — read
CLAUDE.mdand go - You need one specific fact — grep for it
- The repository is small enough to read outright (under ~500 files)
- You need deep behavior of a single flow — that's
trace-the-flow
Prerequisites
- Locate the workspace (
../_shared/workspace-conventions.md) 00-engagement.md— scopes what you're looking for00c-context.md/01-environment.md(optional) — budget and whether it builds- Read
../_shared/stack-detection.mdbefore step 2, including Searching after detection - On anything over ~5,000 files, apply
context-strategyfirst and set a budget
Procedure
Ordered cheapest to most expensive. Each step should sharpen where the next one looks. Read the stopping test in step 10 before you start — it's what stops this becoming a week.
1. Shape
git ls-files | wc -l
git ls-files | sed 's/.*\.//' | tr '[:upper:]' '[:lower:]' | sort | uniq -c | sort -rn | head -20
ls -a
find . -maxdepth 2 -type d -not -path "*/.git*" -not -path "*/node_modules*" | sort
git log -1 --format="%ad %an" --date=short
git log --oneline --since="6 months ago" | wc -l
You're establishing: how big, what languages, is it alive, is it one system or several. A repository with three commits in six months and a top language you didn't expect is telling you something before you read a line.
What ships with it
1 file 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.
- 11d ago First seen · 262 lines · 158 tokens per session scan A 97c0142bfbfe
repo-recon is a skill published in the GitHub repository rpraharaj/forward-deployed-engineer (6 stars, last pushed 24d ago), licensed MIT. It adds 158 tokens to every session and 3,582 once invoked, about $0.0008 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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