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 safe-changegit 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/safe-change)<a href="https://agentmods.dev/skills/rpraharaj/forward-deployed-engineer/safe-change"><img src="https://agentmods.dev/badge/skills/rpraharaj/forward-deployed-engineer/safe-change.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 | $0.00146 | $0.02438 |
| Opus 5 | $0.00073 | $0.01219 |
| Sonnet 5 | $0.00029 | $0.00488 |
| Haiku 4.5 | $0.00015 | $0.00244 |
Grade A, and why
safe-change 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 8d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Safe change
Implementation discipline for code you don't own.
Why this exists
An FDE writes code under two constraints an in-house engineer doesn't have: no intuition for what's fragile, and no credibility yet to spend on a mistake. Both push the same direction — smaller, more legible, more reversible changes than you'd otherwise make.
There's a second, less obvious constraint. Your diff is being read by people deciding whether you're safe to let near their system. A change that works but sprawls across unrelated files, reformats things, and introduces a library nobody asked for gets merged reluctantly and remembered. A tight, idiomatic diff that reads like the person who wrote the surrounding code buys latitude for the next one.
When this applies
- Any change in a system you didn't build
- Legacy code, code with thin coverage, or anything touching money, personal data, auth, or audit
- A change reviewed by a team that doesn't know you
- Anywhere being wrong is expensive to undo
When it doesn't
- Your own scratch code or a throwaway spike
- A genuine emergency mitigation — do the minimum, then come back and do this properly
- Large-scale extraction or restructuring — that's
refactor-seams
Prerequisites
.fde/04-feasibility.md— you should know where the change lands before opening a file.fde/06-blast-radius-*.md— for anything beyond a local change- If the change site has no test coverage, run
characterization-testsfirst. Changing untested legacy code and verifying by inspection is the single highest-risk thing in this portfolio.
Procedure
1. Establish a green baseline
Before touching anything, know the state you're starting from:
git status && git rev-parse --short HEAD
<build command> # from .fde/01-environment.md
<test command>
Record what passes and what already fails. Pre-existing failures are common in enterprise repositories, and discovering them after your change means an hour spent proving you didn't cause them.
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.
- 8d ago First seen · 202 lines · 146 tokens per session scan A 4b1fe762dbcc
safe-change is a skill published in the GitHub repository rpraharaj/forward-deployed-engineer (6 stars, last pushed 21d ago), licensed MIT. It adds 146 tokens to every session and 2,438 once invoked, about $0.0007 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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