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 withoneai/one-agent-plugin --skill doppler-secretopsgit clone --depth 1 https://github.com/withoneai/one-agent-pluginWrote 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/withoneai/one-agent-plugin/doppler-secretops)<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/doppler-secretops"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/doppler-secretops/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/withoneai/one-agent-plugin/doppler-secretops"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/doppler-secretops.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 | $0.00124 | $0.05801 |
| Opus 5 | $0.00062 | $0.02900 |
| Sonnet 5 | $0.00025 | $0.01160 |
| Haiku 4.5 | $0.00012 | $0.00580 |
Grade A, and why
doppler-secretops 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 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.
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.
This is a copy
66% identical to 2-chat — 289 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doppler SecretOps through One
Doppler SecretOps is a secrets management platform that provides centralized access control, syncing, and delivery of environment variables and application secrets, allowing developers and operations teams to securely manage configuration across local development, CI/CD pipelines, and production environments.
One exposes Doppler SecretOps through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.
How to run an action
- Find the action in the table below, or call
search_one_platform_actionswith platformdoppler-secretopsif it is not listed. - Call
get_one_action_knowledgewith the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters. - Call
execute_one_actionwith parameters copied from that knowledge.
Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.
Before you start
Call list_one_integrations once and confirm Doppler SecretOps is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.
Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.
Before a write
Creates, updates, deletes and sends land on a real Doppler SecretOps account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.
Actions
Configs
| Action | Method | Path | Action id |
|---|---|---|---|
| List Configs | GET | /v3/configs |
conn_mod_def::GMPuzQWYHhA::PRcV4j6YTSiZa9ZUGce33g |
| Retrieve a Config | GET | /v3/configs/config |
conn_mod_def::GMPu0TGDeiA::bN_Ps2bfTaKZd7MArCGWMA |
| Clone a Config | POST | /v3/configs/config/clone |
conn_mod_def::GMPuxibmiBA::aUir3qzhQmWz7X-ElL57pg |
| Create a Branch Config | POST | /v3/configs |
conn_mod_def::GMPuxr7C64g::eiJPb-RSRrSZg_cgwPMgdQ |
| Create a Secrets Sync for a Config | POST | /v3/configs/config/syncs |
conn_mod_def::GMPux2jmxGg::O9CMy6VhR1Cvp8zoakdxPw |
| Delete a Config | DELETE | /v3/configs/config |
conn_mod_def::GMPuyQKbXXA::YtAPn-ZgT9uFV79k39u5Ag |
| Inherits for a Config | POST | /v3/configs/config/inherits |
conn_mod_def::GMPuyq6x7Qg::BnA1fAUuQlCo7E8rvorFAA |
| Lock a Config | POST | /v3/configs/config/lock |
conn_mod_def::GMPuzXVt4NA::JDZv3iP1Teep2fs5g-pf5A |
| Unlock Config | POST | /v3/configs/config/unlock |
conn_mod_def::GMPu0a0js3A::EhFOWtHeTkeTltwDj63lGQ |
| Update a Config | POST | /v3/configs/config |
conn_mod_def::GMPu0sAIF3g::pi9zWkSPT1Cei4zIDJWfCA |
| Update Config Inheritability | POST | /v3/configs/config/inheritable |
conn_mod_def::GMPuyqmHBPg::huZm0BvZTCqOED0dgoAZAQ |
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 · 234 lines · 0 tokens per session scan A 1efe9317c250
doppler-secretops is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 124 tokens to every session and 5,801 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 66% identical to 2-chat, differing in 289 lines, and is treated as a copy.
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