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 agentmods add instructions/suboss87/fdeops/agents-mdgit clone --depth 1 https://github.com/suboss87/FDEOpsWhat 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 | $0.00358 | $0.00358 |
| Opus 5 | $0.00179 | $0.00179 |
| Sonnet 5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
FDEOps AGENTS.md 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 yesterday.
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.
What it actually says
AGENTS.md - working in the fdeops repository
This repository is fdeops - the engagement record for Forward Deployed Engineers. One @fde skill, the fde CLI for deterministic work, and per-customer memory in .fde/ as a side effect of the work (you still confirm judgment).
If you are helping use fdeops in an engagement
Route via @fde - read skills/fde/SKILL.md (the single source of truth), pick the phase, do the work, and write .fde/ memory. Never ask the human to pick a skill. Other tools get the same behavior through thin pointer files in adapters/.
If you are contributing to this repository
- One brain. Method lives once in
skills/fde/SKILL.md+skills/fde/references/. Adapters inadapters/only point at it - never fork logic per platform. - Deterministic core.
bin/fde.jsis local-only (git + file reads, no network, no AI). Keep it that way. - Run the checks.
npm run checkmust pass before any PR (node bin/check.js). - Conventions. See
CONTRIBUTING.md,docs/REPO_LAYOUT.md, anddocs/schema.md.
Boundaries
The fde CLI never reaches the network. <private> blocks are redacted from CLI/dashboard/hook outputs; do not load raw private blocks into a model via file tools or paste. fdeops installs on the FDE's own machine, never on customer infrastructure.
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.
- yesterday First seen · 19 lines · 358 tokens per session scan A d5f3a664f67b
FDEOps AGENTS.md is an instructions file published in the GitHub repository suboss87/FDEOps (213 stars, last pushed 2d ago), licensed MIT. It adds 358 tokens to every session, about $0.0018 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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