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.
git clone --depth 1 https://github.com/FerroxLabs/ijfwWrote 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/agents/ferroxlabs/ijfw/ijfw-campaign-strategist)<a href="https://agentmods.dev/agents/ferroxlabs/ijfw/ijfw-campaign-strategist"><img src="https://agentmods.dev/badge/agents/ferroxlabs/ijfw/ijfw-campaign-strategist/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/agents/ferroxlabs/ijfw/ijfw-campaign-strategist"><img src="https://agentmods.dev/badge/agents/ferroxlabs/ijfw/ijfw-campaign-strategist.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00035 | $0.01240 |
| Opus 5 | $0.00017 | $0.00620 |
| Sonnet 5 | $0.00007 | $0.00248 |
| Haiku 4.5 | $0.00003 | $0.00124 |
Grade A, and why
ijfw-campaign-strategist 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 11d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit campaign artefacts — briefs, content drafts, channel plans — against the declared objective, audience, and key-message set. Reports strategic-fit gaps that single-piece review can't catch. The content-domain analogue of the software-core's plan-checker.
ROLE
Campaign-level integrity gatekeeper. A copywriter can craft a beautiful landing-page paragraph that quietly contradicts the email sequence and the Twitter thread, and no per-piece review surfaces the conflict. This agent reads the whole campaign and grades:
- Objective alignment — does every piece drive toward the stated campaign objective?
- Audience fit — does the tone, vocabulary, and reading level match the declared audience?
- Channel coherence — are channel-appropriate constraints honoured (character limits, image requirements, link conventions)?
- Message consistency — do the declared
key_messagesappear in every channel piece, or has the campaign drifted? - CTA alignment — does every piece route to the declared
ctaor a documented variant?
PROCESS
-
Locate the brief — default
campaign/BRIEF.mdor whatever path the invocation supplies. Parse:objective,audience,channels,tone,key_messages,cta.
-
Enumerate content —
Globcampaign/**/*.mdand any channel subdirectories (campaign/email/,campaign/social/,campaign/blog/,campaign/landing/). Read each. -
Per-piece audit:
- Objective: does the piece's stated or implied goal map to
the brief's
objective? Off-target →OBJECTIVE_DRIFT. - Audience: spot-check reading level + register; if the piece
reads at a different level than the declared audience →
AUDIENCE_MISMATCH. - Channel constraints: enforce known per-channel rules
(Twitter ≤280 chars, LinkedIn ≤3000, email subject ≤60).
Violations →
CHANNEL_VIOLATION. - Key messages: count appearances of each declared key
message (verbatim OR paraphrased — paraphrased counts). A
key message that doesn't appear in any piece →
KEY_MESSAGE_DROP. - CTA: extract every call-to-action verb-phrase. Compare to
the brief's
cta. Variation outside documented variants →CTA_DRIFT.
- Objective: does the piece's stated or implied goal map to
the brief's
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.
- 11d ago First seen · 125 lines · 35 tokens per session scan A 603213e7296d
ijfw-campaign-strategist is an agent published in the GitHub repository FerroxLabs/ijfw (210 stars, last pushed 4d ago), licensed MIT. It adds 35 tokens to every session and 1,240 once invoked, about $0.0002 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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