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 guia-matthieu/clawfu-skills --skill reputation-recoverygit clone --depth 1 https://github.com/guia-matthieu/clawfu-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/guia-matthieu/clawfu-skills/reputation-recovery)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/reputation-recovery"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/reputation-recovery/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/guia-matthieu/clawfu-skills/reputation-recovery"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/reputation-recovery.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 | $0.00081 | $0.01389 |
| Opus 5 | $0.00041 | $0.00694 |
| Sonnet 5 | $0.00016 | $0.00278 |
| Haiku 4.5 | $0.00008 | $0.00139 |
Grade A, and why
reputation-recovery 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reputation Recovery
Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking.
When to Use This Skill
- Post-crisis reputation rebuilding (product recall, data breach, PR incident)
- Trust restoration with customers, employees, investors, or public
- Designing accountability communications (CEO apology, incident reports)
- Stakeholder-specific recovery planning with prioritized outreach
- Tracking recovery metrics against pre-crisis baselines
Methodology Foundation
| Aspect | Details |
|---|---|
| Source | Edelman Trust Barometer, Burson reputation recovery frameworks |
| Core Principle | Trust rebuilds through actions, not words — transparency, accountability, competence, then character, in that order |
| Recovery Phases | Stabilize → Acknowledge → Act → Communicate → Measure |
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Designs phased recovery roadmap with timelines | Investment level and resource allocation |
| Drafts stakeholder communications and apology frameworks | Spokesperson selection and timing |
| Creates measurement dashboards and recovery criteria | Acceptable recovery timeline |
| Prioritizes stakeholder groups and actions | Which initiatives to fund |
Instructions
Step 1: Assess Reputation Damage
Build a damage baseline across key dimensions:
| Dimension | Pre-Crisis | Post-Crisis | Gap |
|---|---|---|---|
| Trust score | — | — | — |
| NPS | — | — | — |
| Brand sentiment (% positive) | — | — | — |
| Media tone | — | — | — |
| Customer retention | — | — | — |
Validation checkpoint: If you lack pre-crisis baselines, estimate from industry benchmarks before proceeding.
Step 2: Map Recovery Phases
| Phase | Duration | Focus | Exit Criteria |
|---|---|---|---|
| Stabilize | Weeks 1-2 | Stop the bleeding, full accountability | Crisis chapter closed, compensation launched |
| Rebuild | Months 1-3 | Demonstrate concrete structural changes | New processes in place, advisory board active |
| Demonstrate | Months 3-6 | Build track record, earn positive coverage | 3 months positive media, trust at 80% baseline |
| Sustain | Month 6+ | Long-term reputation building | Meet all recovery completion criteria |
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 · 150 lines · 81 tokens per session scan A ca10f85b29bc
reputation-recovery is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 81 tokens to every session and 1,389 once invoked, about $0.0004 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 2026-09-03.
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