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 skills add Nimbleway/agent-skills --skill competitor-intelgit clone --depth 1 https://github.com/Nimbleway/agent-skillsWrote 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/skills/nimbleway/agent-skills/competitor-intel)<a href="https://agentmods.dev/skills/nimbleway/agent-skills/competitor-intel"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/competitor-intel/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nimbleway/agent-skills/competitor-intel"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/competitor-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 30 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 248 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 5.1 | $0.00214 | $0.03637 |
| Opus 5 | $0.00107 | $0.01818 |
| Sonnet 5 | $0.00043 | $0.00727 |
| Haiku 4.5 | $0.00021 | $0.00364 |
Grade A, and why
competitor-intel 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 9d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Intelligence
Real-time competitive intelligence powered by Nimble's web data APIs.
User request: $ARGUMENTS
Before running any commands, read references/nimble-playbook.md for Claude Code
constraints (no shell state, no &/wait, sub-agent permissions, communication style).
Instructions
Step 0: Preflight
Follow the transport selection + standard preflight from references/nimble-playbook.md — pick CLI or MCP at session start, then run the standard preflight calls (date calc, today, profile, memory index) in parallel.
From the results:
- CLI missing or API key unset →
references/profile-and-onboarding.md, stop - Tag all
nimbleCLI calls:nimble --client-source nimble-agent-skills <subcommand>. MCP requests are attributed at the transport level — seereferences/nimble-playbook.md. - Profile exists → read
~/.nimble/memory/competitors/index.mdto identify which competitor files exist and their last-updated dates. If the index doesn't exist (first run or upgrade), fall back to reading all~/.nimble/memory/competitors/*.mddirectly — the index is an optimization, not a gate. Then load the relevant competitor files for known signals (used for dedup in Steps 3 + 5). Follow cross-references ([[path/entity]]links) to load related context. Determine mode using smart date windowing fromreferences/nimble-playbook.md:- Full mode: first run OR last run > 14 days ago
- Quick refresh: last run < 14 days ago
- Same-day repeat: if
last_runs.competitor-intelis today, check if a report already exists at~/.nimble/memory/reports/competitor-intel-[today].md. If so, ask: "Already ran today. Run again for fresh data?" Don't silently re-run. - Skip to Step 2
- No profile → Step 1
Note: Step 2 (WSA Discovery) runs after onboarding but before any research.
Step 1: First-Run Onboarding (2 prompts max)
Prompt 1 — ask in plain text (NOT AskUserQuestion with options):
"What's your company's website domain? (e.g., acme.com)"
What ships with it
4 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.
- 9d ago First seen · 330 lines · 214 tokens per session scan A 1c556fb7084b
competitor-intel is a skill published in the GitHub repository Nimbleway/agent-skills (53 stars, last pushed 13d ago), licensed MIT. It adds 214 tokens to every session and 3,637 once invoked, about $0.0011 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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