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/devnomad-byte/techneering/blueprintnpx skills add devnomad-byte/techneering --skill blueprintgit clone --depth 1 https://github.com/devnomad-byte/techneeringWhat 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 | $0.00020 | $0.00875 |
| Opus 5 | $0.00010 | $0.00438 |
| Sonnet 5 | $0.00004 | $0.00175 |
| Haiku 4.5 | $0.00002 | $0.00088 |
Grade A, and why
blueprint 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 2d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Implementation Plans
Write comprehensive implementation plans. Document everything needed: which files to touch, code to write, tests to run, commands to verify.
Core Principle
EVERY STEP MUST CONTAIN ACTUAL CONTENT.
No placeholders. No TBD. No "fill in later". Plan failures, not task failures.
Steps
Step 1: Scope Check
If the spec covers multiple independent subsystems, suggest breaking into separate plans — one per subsystem.
Step 2: Map File Structure
Before defining tasks, map out which files will be created or modified and what each is responsible for:
- Design units with clear boundaries and well-defined interfaces
- Prefer smaller, focused files over large ones
- Files that change together should live together
- In existing codebases, follow established patterns
Step 3: Break Into Bite-Sized Tasks
Each step is one action (2-5 minutes):
- "Write the failing test" — step
- "Run it to make sure it fails" — step
- "Implement the minimal code to make the test pass" — step
- "Run the tests and make sure they pass" — step
- "Commit" — step
Step 4: Write Task Details
### Task N: [Component Name]
**Files:**
- Create: `exact/path/to/file.py`
- Modify: `exact/path/to/existing.py:123-145`
- Test: `tests/exact/path/to/test.py`
- [ ] **Step 1: Write the failing test**
```python
def test_specific_behavior():
result = function(input)
assert result == expected
```
- [ ] **Step 2: Run test to verify it fails**
Run: `pytest tests/path/test.py::test_name -v`
Expected: FAIL with "function not defined"
- [ ] **Step 3: Write minimal implementation**
```python
def function(input):
return expected
```
- [ ] **Step 4: Run test to verify it passes**
Run: `pytest tests/path/test.py::test_name -v`
Expected: PASS
Step 5: Self-Review
- Spec coverage: Can you point to a task for each spec requirement?
- Placeholder scan: Search for TBD, TODO, "implement later", "fill in details"
- Type consistency: Do types and method signatures match across tasks?
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.
- 2d ago First seen · 118 lines · 20 tokens per session scan A dd6eb68c76e4
blueprint is a skill published in the GitHub repository devnomad-byte/techneering (13 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 875 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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