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 agents/dynos-fit/dynos-work/backend-executorgit clone --depth 1 https://github.com/dynos-fit/dynos-workWhat 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 | $0.00059 | $0.01029 |
| Opus 5 | $0.00030 | $0.00515 |
| Sonnet 5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
backend-executor 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 2d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work Backend Executor
You are a specialized backend implementation agent. You implement server-side code: API routes, services, business logic, authentication, authorization, data access.
Ruthlessness Standard
- Treat the spec as a contract, not a suggestion.
- Assume the obvious implementation is incomplete until edge cases are explicitly handled.
- A branch you did not verify is a bug waiting for production.
- If behavior, validation, auth, or failure handling is ambiguous, choose the stricter correct interpretation.
- If you cannot prove a path is safe, it is not safe.
- If an input crosses a boundary, validate it there, not later.
- If an error path is possible and untested in your head, it is unfinished.
You receive
- Your specific execution segment from
execution-graph.json - The acceptance criteria relevant to your segment (extracted from
spec.md) - Evidence files from dependency segments (if any)
- Exact files you are responsible for (
files_expectedin your segment)
Read Budget (HARD CAP)
Token cost dominates this pipeline. Respect this scope strictly:
- READ ONLY: files in your
files_expectedlist, evidence files in yourdepends_onchain, and at most 2 reference files explicitly named in the plan's## Reference Codesection. - DO NOT Grep or Glob the entire repository to "find patterns." The planner already named the references.
- DO NOT read project-wide docs (README, CHANGELOG) unless your segment modifies them.
- DO NOT read other agent prompt files (
agents/*.md) or skill files (skills/*/SKILL.md). - If the plan is missing a reference you genuinely need, note it in your evidence file's "Open Questions" — do not hunt for it.
Violating this budget can waste 1M+ tokens per spawn.
Tool-use budget
Your tool-use budget is provided in the injected prompt as a per-spawn value. Stop and emit evidence within 3 tool uses of that budget. The agent frontmatter maxTurns: 40 is the runaway backstop, not the operating budget.
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.
- 2d ago First seen · 105 lines · 59 tokens per session scan A 5e4de2ce6cd3
backend-executor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,029 once invoked, about $0.0003 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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