ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.
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 affaan-m/ECC --skill competitive-report-structuregit clone --depth 1 https://github.com/affaan-m/ECCWrote 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/affaan-m/ecc/competitive-report-structure)<a href="https://agentmods.dev/skills/affaan-m/ecc/competitive-report-structure"><img src="https://agentmods.dev/badge/skills/affaan-m/ecc/competitive-report-structure/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/affaan-m/ecc/competitive-report-structure"><img src="https://agentmods.dev/badge/skills/affaan-m/ecc/competitive-report-structure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00059 | $0.01817 |
| Opus 5.5 | $0.00024 | $0.00727 |
| Sonnet 5.5 | $0.00012 | $0.00363 |
| Haiku 4.5 | $0.00006 | $0.00182 |
Grade A, and why
competitive-report-structure 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 28d 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- competitive-report-structure — 100% identical, 1 lines differ
- competitive-report-structure — 100% identical, 1 lines differ
- competitive-report-structure — 100% identical, 1 lines differ
- competitive-report-structure — 100% identical, 1 lines differ
- competitive-report-structure — 92% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Report Structure
Use this skill to assemble scored competitor cards into a decision-grade report. The report must answer three questions for the client: who do we compete with, how do we compete, and where is our defensible white-space? Every section earns its place by moving toward those answers — cut anything that doesn't.
When to Activate
- All competitor profile cards from benchmark-methodology are complete and ready to assemble.
- Need to present competitive findings to a founder, leadership team, or board.
- The report must drive decisions (who to compete with, how, where the moat is) — not just document the landscape.
- Preparing a client deliverable that must be auditable and defensible.
Client positioning brief (establish first)
Before assembling the report, establish the client's positioning brief. It supplies:
- Strategic tension — the paired axes (e.g., memorability × hireability) that define the client's target white-space. All maps and synthesis resolve back to this tension.
- Brand balance — the intended proportional mix of the client's strategic emphases (e.g., 60% strategy/evidence, 25% distinctiveness, 15% craft). Every recommendation must be checked against this balance; flag any that would shift it.
- Differentiator — the framing principle for the executive summary and white-space section.
- Target quadrant — where the client intends to sit in the tension map; confirming whether that quadrant is genuinely open is the report's central empirical question.
Framing principle
The whole report is organized around the client's strategic tension and recommendations resolve back to the client's deliberate brand balance. Recommendations that would break that balance must be flagged against it explicitly — "this move shifts the balance from X/Y/Z toward A/B/C; confirm intent."
Report sections
1. Executive summary
3–5 takeaways, decision-first. State the most important findings in plain language: where the client is strong, where it's exposed, who occupies its target white-space, and the top 2–3 moves. Written so a founder/PM reads only this and knows what to do. No methodology here.
What ships with it
1 file 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.
- 28d ago Changed · +1 lines a983e68bd3ea
- 1mo ago First seen · 163 lines · 59 tokens per session scan A fe3ad1b5b6ca
competitive-report-structure is a skill published in the GitHub repository affaan-m/ECC (281,495 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,817 once invoked, about $0.0002 per session on Opus 5.5. 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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