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 aniganti/pm-superpowers --skill social-signal-intelligencegit clone --depth 1 https://github.com/aniganti/pm-superpowersWrote 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/aniganti/pm-superpowers/social-signal-intelligence)<a href="https://agentmods.dev/skills/aniganti/pm-superpowers/social-signal-intelligence"><img src="https://agentmods.dev/badge/skills/aniganti/pm-superpowers/social-signal-intelligence/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/aniganti/pm-superpowers/social-signal-intelligence"><img src="https://agentmods.dev/badge/skills/aniganti/pm-superpowers/social-signal-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 35 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 | $0.00043 | $0.00750 |
| Opus 5.5 | $0.00017 | $0.00300 |
| Sonnet 5.5 | $0.00009 | $0.00150 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
social-signal-intelligence 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 1mo 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Signal Intelligence
Purpose
Turn X/Twitter evidence into product strategy inputs. Use Hermes Tweet to research public posts, profiles, trends, and product conversations, then summarize the signal in a format PMs can feed into strategy, competitive analysis, prioritization, pre-mortems, or decision logs.
Setup Checks
- Inspect the tools available in the current session. Never infer availability from this Skill.
- Require
tweet_explorebefore starting any live workflow. - Require
tweet_readbefore live research. - Require
tweet_actionand explicit approval before account-changing work. - Keep
HERMES_TWEET_ENABLE_ACTIONSunset or false for read-only strategy work.
Runtime Boundary
This Skill provides instructions only. It does not install or expose Hermes tools in Claude Code.
If a required tool is unavailable, stop before live work. Explain that the user must run the workflow in Hermes Agent with the native Hermes Tweet plugin enabled. Do not invent results, silently substitute another tool, or imply that setup succeeded. You may still organize evidence the user already supplied.
Instructions
- Classify the request:
- Discovery: the user asks what X/Twitter data or actions are available.
- Research: the user needs public posts, trends, accounts, or market signal evidence.
- Action: the user asks to post, reply, like, follow, DM, create monitors, run webhooks, start extraction jobs, upload media, or run giveaway actions.
- Apply the runtime boundary. Stop if the tool required for this request is unavailable.
- Use
tweet_explorefirst to find the endpoint, capability, or route. - Use
tweet_readonly for catalog-listed public read-only endpoints. - Use
tweet_actiononly after the user approves the exact endpoint, method, payload, and reason. - Cite returned public URLs and timestamps. Mark missing links as "URL not verified".
- Connect findings to the relevant PM workflow:
competitive-landscapefor competitor positioning.strategyfor market and user context.pre-mortemfor launch risks.decision-logfor evidence behind a product call.prioritizationfor demand and urgency signals.
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.
- 1mo ago First seen · 77 lines · 43 tokens per session scan A 30e39eeb2613
social-signal-intelligence is a skill published in the GitHub repository aniganti/pm-superpowers (49 stars, last pushed 7d ago), licensed MIT. It adds 43 tokens to every session and 750 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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