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/matrixfounder/agentic-development/skill-task-modelnpx skills add MatrixFounder/Agentic-development --skill skill-task-modelgit clone --depth 1 https://github.com/MatrixFounder/Agentic-developmentWhat 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 | $0.00016 | $0.00408 |
| Opus 5 | $0.00008 | $0.00204 |
| Sonnet 5 | $0.00003 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
skill-task-model 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.
What it actually says
TASK Model & Examples
Purpose: Defines the structure and quality standards for Technical Specifications to ensure unambiguous implementation.
1. Red Flags (Anti-Rationalization)
STOP if you are thinking:
- "I'll figure out the edge cases while coding" -> WRONG. define Alternative Scenarios NOW.
- "Acceptance Criteria: 'It works'" -> WRONG. Criteria must be binary (Pass/Fail) and specific.
- "I don't need actors, it's just a backend job" -> WRONG. "System" is an actor. "Cron Job" is an actor.
2. TASK Structure Rules
- Meta Information: Section 0 MUST include Task ID and Slug.
- Use Cases: Must be structured with Actors, Preconditions, Main Scenario, Alternative Scenarios, Postconditions, and Acceptance Criteria.
- Validation: Criteria must be verifiable.
3. Examples
Example of a Good Use Case
[!TIP] See
examples/good_use_case.mdfor a complete, structured example. Its acceptance criteria are plain bullets: severity is a named value, never a glyph (documentation-standards§5.5 rule 5).
Example of a Bad Use Case
[!TIP] See
examples/bad_use_case.mdfor what NOT to do.
Rationalization Table
| Agent Excuse | Reality / Counter-Argument |
|---|---|
| "Writing scenarios takes too long" | Rewriting code because of missed edge cases takes 3x longer. |
| "It's obvious what happens" | Not to the Code Reviewer, and not to you in two weeks. |
4. Resources
examples/: Reference use cases.
What ships with it
2 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.
- yesterday First seen · 43 lines · 16 tokens per session scan A fcd11bde39ef
skill-task-model is a skill published in the GitHub repository MatrixFounder/Agentic-development (5 stars, last pushed 19d ago), licensed Apache-2.0. It adds 16 tokens to every session and 408 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 2026-08-31.
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