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/infraspecdev/tesseract/implement-featurenpx skills add infraspecdev/tesseract --skill implement-featuregit clone --depth 1 https://github.com/infraspecdev/tesseractWhat 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 | $0.00050 | $0.03060 |
| Opus 5 | $0.00025 | $0.01530 |
| Sonnet 5 | $0.00010 | $0.00612 |
| Haiku 4.5 | $0.00005 | $0.00306 |
Grade A, and why
implement-feature 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 — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Feature
Overview
Structured feature implementation workflow: optionally fetch context from a Jira/ClickUp ticket, gather requirements, optionally prototype frontend design, plan, write tests first, implement with parallel sub-agents committing after each step, and verify. All artifacts are tracked in a feature/<name>/ directory.
Input
The user provides one or more of:
- A description of the feature to build
- A Jira ticket URL or ID (e.g.,
PROJ-123,https://team.atlassian.net/browse/PROJ-123) - A ClickUp task URL or ID (e.g.,
https://app.clickup.com/t/abc123) - Context about their project, constraints, or where to save output
When to Use
- User says "implement", "add", "build", or "create" a feature
- User provides a Jira or ClickUp ticket URL/ID to implement
- New functionality that needs requirements clarification
- Multi-step implementation that benefits from planning before coding
- Any work where TDD and sub-agents would improve quality and speed
When NOT to use:
- Bug fixes (use systematic-debugging instead)
- Single-line changes or trivial edits
- Pure research or exploration tasks
- Refactoring with no new behavior
Workflow
digraph feature_flow {
rankdir=TB;
node [shape=box];
init [label="1. Initialize Feature"];
ticket [label="2a. Fetch Ticket?\n(if URL/ID provided)" shape=diamond];
fetch [label="2a. Fetch Card Details"];
clarify [label="2b. Clarify Requirements"];
frontend [label="2.5 Frontend Prototype?\n(if UI feature)" shape=diamond];
design [label="2.6 Design & Sample HTML"];
plan [label="3. Write Implementation Plan"];
approve [label="4. Get User Approval" shape=diamond];
tdd [label="5. TDD: Write Failing Tests"];
implement[label="6. Implement + Commit per Step"];
verify [label="7. Verify & Review"];
done [label="Done"];
init -> ticket;
ticket -> fetch [label="yes"];
ticket -> clarify [label="no"];
fetch -> clarify;
clarify -> frontend;
frontend -> design [label="yes"];
frontend -> plan [label="no"];
design -> plan;
plan -> approve;
approve -> plan [label="revise"];
approve -> tdd [label="approved"];
tdd -> implement;
implement -> verify;
verify -> implement [label="failing"];
verify -> done [label="passing"];
}
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 · 344 lines · 50 tokens per session scan A ae966039c656
implement-feature is a skill published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 3,060 once invoked, about $0.0003 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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