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 instructions/elvisun/newsjack/agents-mdgit clone --depth 1 https://github.com/elvisun/newsjackWrote 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/instructions/elvisun/newsjack/agents-md)<a href="https://agentmods.dev/instructions/elvisun/newsjack/agents-md"><img src="https://agentmods.dev/badge/instructions/elvisun/newsjack/agents-md.svg" alt="Measured on agentmods" 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 | $0.02143 | $0.02143 |
| Opus 5 | $0.01071 | $0.01071 |
| Sonnet 5 | $0.00429 | $0.00429 |
| Haiku 4.5 | $0.00214 | $0.00214 |
Grade A, and why
newsjack AGENTS.md scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `apps/site/` - Next.js site and distribution build. `proxy.ts` routes curl/wget to `install.sh`; browser traffic gets the site. How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for coding agents working in this repo.
Repo Shape
apps/cli/- Go CLI source fornewsjack. Commands live inapps/cli/cmd/newsjack/.apps/site/- Next.js site and distribution build.proxy.tsroutes curl/wget toinstall.sh; browser traffic gets the site.bin/newsjack- source-checkout shim that runs the Go CLI withgo run. Working in this repo, prefer this shim;~/.newsjack/bin/newsjackis the end-user install path that public skills reference.skills/- public Newsjack skills. These are user-facing runtime instructions.fixtures/- local fixtures and smoke harnesses. Fixture-specific docs, scripts, prompts, and generated run folders belong here.eval/- evaluation artifacts, including reverse-newsjack methodology and dated run results.harness/- local agent/runtime harness support.docs/- planning and architecture notes.
Canonical Boundaries
- Public skill behavior belongs in
skills/*/SKILL.mdand skill-local support files. - Fixture usage belongs in the relevant
fixtures/*/README.md, scripts, or prompt files, not in public skills. skills/newsjack-detector/SKILL.mdis the canonical detector pipeline contract.fixtures/newsjack-detector-agent/PROMPT.mdshould only point agents to the canonical detector skill and the fixture profile files. Do not duplicate run commands or profile lists there.fixtures/newsjack-detector-agent/README.mdowns fixture script usage.
Minimal Memory
Keep Newsjack as stateless as practical. Durable state creates hidden baggage on users' machines, makes behavior harder to reason about, and slows iteration.
- Prefer explicit user-owned files, command inputs, and per-run artifacts over background memory.
- If something can be regenerated with one prompt or one cheap deterministic command, do not save it as durable state.
- If an LLM can derive something from live evidence in one prompt, prefer keeping that derivation in the skill/prompt layer instead of encoding a brittle approximation in Go.
- Persist only state that has a clear product owner and lifecycle: monitor profiles, client briefs, schedules, credentials, run provenance, and recurring-run seen/suppression data.
- Do not persist model-inferred topics, learned assumptions, ranking preferences, or other agent guesses unless the user explicitly promotes them into a profile or brief.
- When state is necessary, make it inspectable, portable, and easy to delete. Avoid adding new local databases, caches, or hidden files unless they are clearly justified.
- One-off commands should be as stateless as possible. Recurring monitors may use limited state for hygiene, but that state should not become the source of truth for discovery or judgment.
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.
- 4d ago First seen · 128 lines · 2,143 tokens per session scan A 32078df69cc1
newsjack AGENTS.md is an instructions file published in the GitHub repository elvisun/newsjack (664 stars, last pushed 2d ago), licensed MIT. It adds 2,143 tokens to every session, about $0.0107 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
memU AGENTS.md
AGENTS.md instructions for NevaMind-AI/memU, covering agents.md, mission, layer map, implementation rules and backend parity.
cortex-mem AGENTS.md
Instructions for sopaco/cortex-mem, covering cortex memory - ai agent context guide, project overview, core concepts, memory dimensions and three-tier layers.
gossipcat-ai CLAUDE.md
Claude Code instructions for gossipcat-ai/gossipcat-ai, covering claude.md, gossipcat — multi-agent orchestration, your role, agent accuracy — skill development and scoped agent contract.
ai-marketing-skills AGENTS.md
AGENTS.md instructions for superamped/ai-marketing-skills, covering ai marketing skills for ai agents, available skills, ads, content and conversion.
obsidian-llm-wiki AGENTS.md
AGENTS.md instructions for liyading1818/obsidian-llm-wiki, covering agents.md — 个人 llm wiki 操作手册, 1. 这个仓库是什么, 2. 目录结构(三层 + 衍生), 3. 页面规范 and 3.1 frontmatter(yaml 头).
skill-memory AGENTS.md
AGENTS.md instructions for memodb-io/skill-memory, a project described as: agent skill as memory layer.