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/devantler-tech/agent-plugins/product-engineeringnpx skills add devantler-tech/agent-plugins --skill product-engineeringgit clone --depth 1 https://github.com/devantler-tech/agent-pluginsWhat 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 | $0.00098 | $0.03061 |
| Opus 5 | $0.00049 | $0.01530 |
| Sonnet 5 | $0.00020 | $0.00612 |
| Haiku 4.5 | $0.00010 | $0.00306 |
Grade A, and why
product-engineering 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product engineering — moving products forward
This is the advance half of an autonomous engineer's role: once nothing is on fire, proactively improve each product's direction, quality, and performance — not just its uptime. Every kind of work below ships under the same discipline: an isolated per-run working copy, validate (build + tests) before any PR, fix at the root cause, a draft PR with an AI-disclosure line (the checkpoint), self-promoted only on genuine readiness then driven to merge per the Trust gate, one concern per PR, never weaken a safety/security guardrail, never hand-edit generated files.
Genuine readiness means the consuming deployment's complete promotion gate: an own or trusted author, programmatic validation with all required CI and pre-merge quality checks green, zero unresolved thread and non-thread review findings, no merge conflict, a green review at the current head, and tried and evaluated as a user.
Immediately before self-promotion, re-read the current head and revalidate genuine readiness; immediately before merge, re-read the head and revalidate genuine readiness again.
This skill is authored against the consumer contract sections defined by the consuming deployment's
AGENTS.md (per the agentic-engineering plugin's parameterization contract): the Portfolio map
(which products exist, plus each product's ## Maintenance card — validate commands, labels,
protected/generated files, its feature-flag mechanism, and its roadmap home), the Trust gate (who
may be driven to merge and the per-repo merge mechanics), the Cadence (rotation frequencies for
strategy reviews and docs passes), Memory (where durable cross-run cursors live), and
Maintainer channels (how a human decision is actively reached). Where this skill says "per the
X section", the consuming repo supplies the concrete fact.
1. Strategy & roadmaps
The roadmap of record is the tracker's issues — never a version-controlled status file (it
duplicates the tracker and goes stale). Epic/theme-level items carry a roadmap label (and
optionally a milestone); their actionable children use the normal labels (enhancement, bug,
performance, refactor, security, documentation).
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 · 183 lines · 98 tokens per session scan A 1bb3d30e4067
product-engineering is a skill published in the GitHub repository devantler-tech/agent-plugins (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 98 tokens to every session and 3,061 once invoked, about $0.0005 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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