doppler-secret-validation

doppler-secret-validation is a skill for Claude Code from terrylica/cc-skills. It costs 31 tokens per session (1,808 once invoked), scanned A, original, MIT.

A procedure for storing and checking Doppler secrets, which are credentials kept in a secrets-management service. It covers token-format checks, adding secrets, and testing that they can be retrieved and used.

In plain words
What is it for?
It is for adding tokens to Doppler, checking credentials for services such as PyPI, GitHub, and AWS, and verifying authentication.
Why use it?
It reduces the risk of storing malformed or unusable API tokens and provides a repeatable way to validate credentials before production use.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the devops-tools plugin — 24 skills shipped together , and of cc-skills

Good fit It is for adding tokens to Doppler, checking credentials for services such as PyPI, GitHub, and AWS, and verifying authentication.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/terrylica/cc-skills/doppler-secret-validation
Install

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.

Any agent
npx skills add terrylica/cc-skills --skill doppler-secret-validation
Clone the repo
git clone --depth 1 https://github.com/terrylica/cc-skills

Made for: Claude Code.

Or install devops-tools, the plugin that ships this one along with the rest of its 24 skills.

Wrote 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.

agentmods badge for doppler-secret-validation

README.md
[![agentmods](https://agentmods.dev/badge/skills/terrylica/cc-skills/doppler-secret-validation/github.svg)](https://agentmods.dev/skills/terrylica/cc-skills/doppler-secret-validation)
Your own site
<a href="https://agentmods.dev/skills/terrylica/cc-skills/doppler-secret-validation"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/doppler-secret-validation/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.

agentmods 80×15 button for doppler-secret-validation

Your own site · 80×15
<a href="https://agentmods.dev/skills/terrylica/cc-skills/doppler-secret-validation"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/doppler-secret-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

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 →

  • medium Agent Snooping · line 148
    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 Prompt Injection · line 199
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.01808
Opus 5 $0.00015 $0.00904
Sonnet 5 $0.00006 $0.00362
Haiku 4.5 $0.00003 $0.00181

Measured 11d ago against content hash 44f3ad3523b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

doppler-secret-validation 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 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/test_api_auth.py, scripts/validate_secret.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/devops-tools/skills/doppler-secret-validation/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Doppler Secret Validation

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.

Overview

Workflow for securely adding, validating, and testing API tokens and credentials in Doppler secrets management.

When to Use This Skill

Use this skill when:

  • User provides API tokens or credentials (PyPI, GitHub, AWS, etc.)
  • User mentions "add to Doppler", "store secret", "validate token"
  • User wants to test authentication before production use
  • User needs to verify secret storage and retrieval

Workflow

Step 1: Test Token Format (Before Adding to Doppler)

Before storing in Doppler, validate token format:

# Check token format, length, prefix
python3 -c "token = 'TOKEN_VALUE'; print(f'Prefix: {token[:20]}...'); print(f'Length: {len(token)}')"

Common token formats:

  • PyPI: pypi-... (179 chars)
  • GitHub: ghp_... (40+ chars)
  • AWS: 20-char access key + 40-char secret

Step 2: Add Secret to Doppler

doppler secrets set SECRET_NAME="value" --project PROJECT --config CONFIG

Example:

doppler secrets set PYPI_TOKEN="pypi-AgEI..." \
  --project claude-config --config prd

Important: CLI doesn't support --note. Add notes via dashboard:

  1. https://dashboard.doppler.com
  2. Navigate: PROJECT → CONFIG → SECRET_NAME
  3. Edit → Add descriptive note

Step 3: Validate Storage

Use the bundled validation script:

/usr/bin/env bash << 'VALIDATE_EOF'
ROOT="$(cc-plugin-root devops-tools)"
cd "$ROOT/skills/doppler-secret-validation"
uv run scripts/validate_secret.py \
  --project PROJECT \
  --config CONFIG \
  --secret SECRET_NAME
VALIDATE_EOF

This validates:

  1. Secret exists in Doppler
  2. Secret retrieval works
  3. Environment injection works via doppler run

Example:

uv run scripts/validate_secret.py \
  --project claude-config \
  --config prd \
  --secret PYPI_TOKEN

Read the full file on GitHub · 221 lines

Files

What ships with it

4 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.

Changes

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.

  1. 11d ago First seen · 221 lines · 31 tokens per session scan A 44f3ad3523b5

Subscribe to this mod's changes

doppler-secret-validation is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,808 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

android-development

Android development with Kotlin, Jetpack Compose, and modern Android architecture. Use when building Android apps, implementing Material Design, or following Android best practices.

travisjneuman/.claude · 33 tokens

email-systems

Transactional email (Resend, SendGrid, SES), templates (React Email, MJML), deliverability (SPF/DKIM/DMARC), and inboxing best practices. Use when building email infrastructure, designing templates, or troubleshooting deliverability.

travisjneuman/.claude · 55 tokens

customer-persona-builder

Data-driven customer persona development combining market research, user behavior analysis, and segmentation frameworks. Use when creating buyer personas, ideal customer profiles (ICPs), or user archetypes.

travisjneuman/.claude · 40 tokens

devops-cloud

DevOps, cloud infrastructure, and platform engineering. Use when working with AWS, GCP, Azure, Kubernetes, Terraform, CI/CD pipelines, or infrastructure as code.

travisjneuman/.claude · 38 tokens

generic-design-system

Complete design system reference for any project - colors, typography, spacing, components, animations. Adapts to project theme and tech stack. Use when implementing UI, choosing colors, creating animations, or ensuring brand consistency. For new design systems, use ui-research skill first.

travisjneuman/.claude · 60 tokens

generic-code-reviewer

Review code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md workflow compliance. Supports any tech stack - HTML/CSS/JS, React, TypeScript, Node.js, Python, NestJS, Next.js, and more. Use when completing features, before commits, or reviewing pull requests.

travisjneuman/.claude · 70 tokens