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 terrylica/cc-skills --skill doppler-workflowsgit clone --depth 1 https://github.com/terrylica/cc-skillsWrote 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/terrylica/cc-skills/doppler-workflows)<a href="https://agentmods.dev/skills/terrylica/cc-skills/doppler-workflows"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/doppler-workflows/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/terrylica/cc-skills/doppler-workflows"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/doppler-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 148 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Agent Snooping · line 115 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 123 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00028 | $0.01338 |
| Opus 5 | $0.00014 | $0.00669 |
| Sonnet 5 | $0.00006 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
doppler-workflows 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 9d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Doppler Credential Workflows
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use This Skill
Use this skill when:
- Publishing Python packages to PyPI
- Rotating AWS access keys
- Managing credentials across multiple services
- Troubleshooting authentication failures (403, InvalidClientTokenId)
- Setting up Doppler credential injection patterns
- Multi-token/multi-account strategies
Quick Reference
Core Pattern: Doppler CLI
Standard Usage:
doppler run --project <project> --config <config> --command='<command>'
Why --command flag:
- Official Doppler pattern (auto-detects shell)
- Ensures variables expand AFTER Doppler injects them
- Without it: shell expands
$VARbefore Doppler runs → empty string
Quick Start Examples
PyPI Publishing
doppler run --project claude-config --config dev \
--command='uv publish --token "$PYPI_TOKEN"'
AWS Operations
doppler run --project aws-credentials --config dev \
--command='aws s3 ls --region $AWS_DEFAULT_REGION'
Best Practices
- Always use --command flag for credential injection
- Use project-scoped tokens (PyPI) for better security
- Rotate credentials regularly (90 days recommended)
- Document with Doppler notes:
doppler secrets notes set <SECRET> "<note>" - Use stdin for storing secrets:
echo -n 'secret' | doppler secrets set - Test injection before using:
echo ${#VAR}to verify length - Multi-token naming:
SERVICE_TOKEN_{ABBREV}for clarity
Reference Documentation
For detailed information, see:
- PyPI Publishing - Token setup, publishing, troubleshooting
- AWS Credentials - Rotation workflow, setup, troubleshooting
- Multi-Service Patterns - Multiple PyPI packages, multiple AWS accounts
- AWS Workflow - Complete AWS credential management guide
What ships with it
7 files 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.
- 9d ago First seen · 151 lines · 28 tokens per session scan A dbc5d3ed8dd5
doppler-workflows is a skill published in the GitHub repository terrylica/cc-skills (66 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,338 once invoked, about $0.0001 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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