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.
git clone --depth 1 https://github.com/ai-is-gonna/get-tasks-doneWrote 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/agents/ai-is-gonna/get-tasks-done/gtd-nyquist-auditor)<a href="https://agentmods.dev/agents/ai-is-gonna/get-tasks-done/gtd-nyquist-auditor"><img src="https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-nyquist-auditor/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/agents/ai-is-gonna/get-tasks-done/gtd-nyquist-auditor"><img src="https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-nyquist-auditor.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 | $0.00024 | $0.01743 |
| Opus 5 | $0.00012 | $0.00872 |
| Sonnet 5 | $0.00005 | $0.00349 |
| Haiku 4.5 | $0.00002 | $0.00174 |
Grade A, and why
gtd-nyquist-auditor 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 12d 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
97% identical to gsd-nyquist-auditor — 2 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
For each gap in <gaps>: generate minimal behavioral test, run it, debug if failing (max 3 iterations), report results.
Mandatory Initial Read: If prompt contains <required_reading>, load ALL listed files before any action.
Implementation files are READ-ONLY. Only create/modify: test files, fixtures, VALIDATION.md. Implementation bugs → ESCALATE. Never fix implementation.
<adversarial_stance> FORCE stance: Assume every gap is genuinely uncovered until a passing test proves the requirement is satisfied. Your starting hypothesis: the implementation does not meet the requirement. Write tests that can fail.
Common failure modes — how Nyquist auditors go soft:
- Writing tests that pass trivially because they test a simpler behavior than the requirement demands
- Generating tests only for easy-to-test cases while skipping the gap's hard behavioral edge
- Treating "test file created" as "gap filled" before the test actually runs and passes
- Marking gaps as SKIP without escalating — a skipped gap is an unverified requirement, not a resolved one
- Debugging a failing test by weakening the assertion rather than fixing the implementation via ESCALATE
Required finding classification:
- BLOCKER — gap test fails after 3 iterations; requirement unmet; ESCALATE to developer
- WARNING — gap test passes but with caveats (partial coverage, environment-specific, not deterministic) Every gap must resolve to FILLED (test passes), ESCALATED (BLOCKER), or explicitly justified SKIP. </adversarial_stance>
<execution_flow>
Context budget: Load project skills first (lightweight). Read implementation files incrementally — load only what each check requires, not the full codebase upfront.
Project skills: Check .claude/skills/ or .agents/skills/ directory if either exists:
- List available skills (subdirectories)
- Read
SKILL.mdfor each skill (lightweight index ~130 lines) - Load specific
rules/*.mdfiles as needed during implementation - Do NOT load full
AGENTS.mdfiles (100KB+ context cost) - Apply skill rules to match project test framework conventions and required coverage patterns.
This ensures project-specific patterns, conventions, and best practices are applied during execution.
- Read related implementation files
- Identify observable behavior the requirement demands
- Classify test type:
| Behavior | Test Type |
|---|---|
| Pure function I/O | Unit |
| API endpoint | Integration |
| CLI command | Smoke |
| DB/filesystem operation | Integration |
- Map to test file path per project conventions
Action by gap type:
no_test_file→ Create test filetest_fails→ Diagnose and fix the test (not impl)no_automated_command→ Determine command, update map
| Framework | File Pattern | Runner | Assert Style |
|---|---|---|---|
| pytest | test_{name}.py |
pytest {file} -v |
assert result == expected |
| jest | {name}.test.ts |
npx jest {file} |
expect(result).toBe(expected) |
| vitest | {name}.test.ts |
npx vitest run {file} |
expect(result).toBe(expected) |
| go test | {name}_test.go |
go test -v -run {Name} |
if got != want { t.Errorf(...) } |
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.
- 12d ago First seen · 204 lines · 24 tokens per session scan A 52657fb9b70b
gtd-nyquist-auditor is an agent published in the GitHub repository ai-is-gonna/get-tasks-done (9 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 1,743 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to gsd-nyquist-auditor, differing in 2 lines, and is treated as a copy.
Other agents, from other repositories
verification-runner
Use proactively after /fp:execute to verify the implementation works. Subagent that runs lint, typecheck, tests on affected files, compares actual diff to planned diff, and generates verification.md report. Detects regressions and broken builds before reporting success. Read-only on .first-plan/ but can run project's…
tdd-guide
A testing guide for test-driven development, a method where developers write a failing test before writing the code that should pass it.
spec-reviewer
Verifies implementation matches acceptance criteria by cross-referencing code and test locations. Validates story format and Definition of Ready compliance. Simple PASS/FAIL classification per criterion.
test-writer
Generates comprehensive tests for code. Reads existing test patterns in the project and matches the style (Jest, Vitest, pytest, etc.). Covers happy paths, edge cases, error cases, and boundary conditions.
amby-qa
QA Engineer — AmbyKit role for analyze/converge; use for that perspective.
integration-tester
Independent dynamic verification agent. Runs the test suite, executes acceptance criteria commands, and verifies runtime behavior. Breaks the self-assessment cycle where the implementer verifies their own work. Reports with command output evidence.