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 skills/junmystery/agent-guidance-python/cpp-testingnpx skills add JunMystery/Agent-Guidance-Python --skill cpp-testinggit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWhat 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 | $0.00034 | $0.02293 |
| Opus 5 | $0.00017 | $0.01146 |
| Sonnet 5 | $0.00007 | $0.00459 |
| Haiku 4.5 | $0.00003 | $0.00229 |
Grade A, and why
cpp-testing 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.
This is a copy
100% identical to cpp-testing — 3 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 — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
C++ Testing (Agent Skill)
Agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest/GoogleMock with CMake/CTest.
When to Use
- Writing new C++ tests or fixing existing tests
- Designing unit/integration test coverage for C++ components
- Adding test coverage, CI gating, or regression protection
- Configuring CMake/CTest workflows for consistent execution
- Investigating test failures or flaky behavior
- Enabling sanitizers for memory/race diagnostics
When NOT to Use
- Implementing new product features without test changes
- Large-scale refactors unrelated to test coverage or failures
- Performance tuning without test regressions to validate
- Non-C++ projects or non-test tasks
Core Concepts
- TDD loop: red → green → refactor (tests first, minimal fix, then cleanups).
- Isolation: prefer dependency injection and fakes over global state.
- Test layout:
tests/unit,tests/integration,tests/testdata. - Mocks vs fakes: mock for interactions, fake for stateful behavior.
- CTest discovery: use
gtest_discover_tests()for stable test discovery. - CI signal: run subset first, then full suite with
--output-on-failure.
TDD Workflow
Follow the RED → GREEN → REFACTOR loop:
- RED: write a failing test that captures the new behavior
- GREEN: implement the smallest change to pass
- REFACTOR: clean up while tests stay green
// tests/add_test.cpp
#include <gtest/gtest.h>
int Add(int a, int b); // Provided by production code.
TEST(AddTest, AddsTwoNumbers) { // RED
EXPECT_EQ(Add(2, 3), 5);
}
// src/add.cpp
int Add(int a, int b) { // GREEN
return a + b;
}
// REFACTOR: simplify/rename once tests pass
Code Examples
Basic Unit Test (gtest)
// tests/calculator_test.cpp
#include <gtest/gtest.h>
int Add(int a, int b); // Provided by production code.
TEST(CalculatorTest, AddsTwoNumbers) {
EXPECT_EQ(Add(2, 3), 5);
}
Fixture (gtest)
// tests/user_store_test.cpp
// Pseudocode stub: replace UserStore/User with project types.
#include <gtest/gtest.h>
#include <memory>
#include <optional>
#include <string>
struct User { std::string name; };
class UserStore {
public:
explicit UserStore(std::string /*path*/) {}
void Seed(std::initializer_list<User> /*users*/) {}
std::optional<User> Find(const std::string &/*name*/) { return User{"alice"}; }
};
class UserStoreTest : public ::testing::Test {
protected:
void SetUp() override {
store = std::make_unique<UserStore>(":memory:");
store->Seed({{"alice"}, {"bob"}});
}
std::unique_ptr<UserStore> store;
};
TEST_F(UserStoreTest, FindsExistingUser) {
auto user = store->Find("alice");
ASSERT_TRUE(user.has_value());
EXPECT_EQ(user->name, "alice");
}
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 · 326 lines · 34 tokens per session scan A a92fb5da9b7e
cpp-testing is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 2,293 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cpp-testing, differing in 3 lines, and is treated as a copy.
Other skills, from other repositories
common-feedback-reporter
Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.
common-exploit-verification
Enforce "No Exploit, No Report" policy with PoC construction standards, false-positive filtering, and evidence collection per vulnerability class across backend, frontend, and mobile. Use when validating security findings, constructing exploit proofs, filtering false positives, or writing pentest findings.
common-session-retrospective
Analyze conversation corrections to detect skill gaps and prepare targeted skill-library maintenance tasks. Use after any session with user corrections, rework, or retrospective requests. After finding correction loops, also load +common/common-learning-log to persist mistake entries to AGENTSLEARNING.md.
common-store-changelog
Generate user-facing release notes for the App Store and Google Play from git history (App Store <=4000 chars, Google Play <=500). Use when generating release notes, app store changelog, play store release, or "what's new" text for a mobile app.
common-code-review
Conduct high-quality, persona-driven code reviews. Use when reviewing PRs, critiquing code quality, or analyzing changes for team feedback.
common-workflow-writing
Rules for writing concise, token-efficient workflow and skill files. Prevents over-building that requires costly optimization passes. Use when creating or editing workflow files, SKILL.md files, or new skill definitions.